This repository contains a periodically updated list of large language model assistants and agents that I have configured for my own personal use.
This repository is updated from my original LLM agents repo.
An index of the configurations appears below, and the root for the finished configurations is in /finished/by-category.
Some of these are deployed on Hugging Face Chat for anybody to use.
The agent aims to generate a fully random daily itinerary for the user, starting from morning to bedtime, in a creative and exciting manner, encompassing the user's preferences and constraints while providing a unique and adventurous experience.
The model V2 serves as an aid to users by converting acronyms to the corresponding full names of organizations, allowing for disambiguation with additional details provided by the user. Version 1, named Acronym To Organisation, also provided the same functionality of converting acronyms to full organization names.
This tool helps users improve their prompts for large language models by adding examples to enhance accuracy and effectiveness, with the goal of providing better guidance to the models for generating more precise outputs.
The Agenda Creation Assistant helps create a well-structured meeting agenda by analyzing and organizing user input, focusing on action items, updates, discussion topics, and next steps, ensuring professional and concise content presentation. It aims to streamline the preparation process for users by transforming disorganized information into a clear and organized agenda for effective meetings.
The AI Career Ideation Tool is an AI-powered agent designed to guide users in embracing AI, enhance their proficiency in AI technologies, and advance their careers by providing tailored recommendations on learning opportunities, certifications, CV enhancements, and technology focuses.
This AI agent helps users explore how AI technologies and custom LLMs can improve their lives by providing personalized suggestions based on the challenges they face, all while maintaining a friendly and supportive tone.
AI Tech Advisor recommends emerging AI technologies for specific use cases, offering insights and detailed explanations in a technical and informative manner.
Airport Food Finder is a tool that helps users find food and drink options available at a specific airport tailored to their preferences and flight details. It provides accurate recommendations, including opening hours, cuisine types, and menu items, based on user input.
The Vetter model serves as a helpful tool for determining the risk level of counterfeit products for brands on Aliexpress by evaluating headquarters, counterfeiting reports, official store presence, certification status, counterfeiting procedures, and providing a risk rating on a 5-point scale. Users are reminded that while the information provided is insightful, accuracy and timeliness cannot be assured due to the dynamic nature of the data.
The Aliexpress Product Finder helps users by finding products on Aliexpress based on their descriptions or search terms, although product availability cannot be guaranteed due to inventory updates.
I am a tool designed to assist users in configuring Large Language Model agents effectively by providing guidance on best practices, avoiding common mistakes, formatting instructions, and version control considerations. I may not have the most up-to-date information, so it's advisable for users to verify my recommendations against the latest research in this rapidly evolving field.
The LLM Assistant Configuration Generator is designed to assist users in creating configuration text for large language model assistants, ensuring it is platform-agnostic and written in natural language for easy use on any platform.
The AI Assistant Team Manager provides assistance in organizing a collection of custom AI assistants, aiding in categorizing and grouping them based on their purposes and functions.
This agent serves as an automation strategist to help identify and automate tasks in your job, aiming for complete automation and the management of AI bots. It maintains a professional, motivational tone and guides through incremental steps towards the goal, adapting recommendations to evolving AI technology.
This helper tool assists users in creating "Awesome" lists on platforms like GitHub, providing guidance on formatting and generating entries for the list based on user input. It supports adding markdown badges using Shields.io and aids in structuring content consistently throughout the list creation process.
This task instructs you to assist users by generating concise biographies about individuals, primarily for business purposes. The content should include the person's name, a brief personal background, detailed professional history, and links to relevant social media profiles. Each person should be treated as a separate task without carrying over information from previous requests.
Backoffice Development Copilot is an LLM agent designed to guide users in creating, optimizing, and integrating effective backoffice systems with a focus on AI enhancement and system efficiency, targeting both personal and business applications.
The Backoffice LLM Agent Ideation Tool helps suggest custom AI agents for enhancing backoffice operations by identifying problems, proposing AI solutions, and providing detailed instructions for creating custom agents that leverage the latest AI capabilities without requiring deep technical expertise.
Backup Coach is an agent designed to evaluate and enhance users' backup strategies by providing personalized recommendations tailored to their specific systems, current setups, and budget considerations. It offers guidance on identifying backup systems, suggesting best practices, recommending technologies, and advising on backup frequency, all delivered in a practical and informative manner while avoiding technical jargon.
The Backup Evaluation Assistant is designed to provide users with information on backup approaches for SaaS tools, focusing on automation options and delivering structured summaries of how each tool supports data backups using clear and non-technical language.
The task is to assist users in finding poorly rated experiences in their local area, including restaurants and cafes, tourist scams, critically panned movies, and poorly rated bars, by guiding them towards specific negative aspects of these entities. Recommendations should be concise and specific, with the ability to provide further details and Google Maps links for each poor experience identified.
This agent generates bad jokes with let-down punchlines and mild humor, aiming to provoke groans or awkward silences.
The Beer Tap Identifier is an AI agent that analyzes photos of beer taps to identify and describe beers, providing key details like ABV, IBU, and user ratings.
The BLUF Email Reformatter assists in reformatting user-provided emails following specific guidelines to enhance clarity and readability, focusing on a Bottom Line Up Front summary and specific formatting requirements for subject lines and full email text.
The Boss Update Batcher is an agent designed to help users efficiently send and organize updates for their boss by storing and summarizing key updates in a coherent manner while maintaining a professional and concise tone throughout the interaction.
The Brainstorming Assistant LLM agent supports users in conducting effective brainstorming sessions by offering guidance on preparation, productivity tips, and tool recommendations.
Brainstorming Coach is an AI assistant designed to guide and inspire users on effective brainstorming techniques, providing tips, best practices, and product recommendations to enhance creativity and idea generation.
This tool assists users in evaluating the reliability of brands by providing clear and factual information on companies and their products, helping users make confident purchasing decisions.
The Brief Writing Assistant is a professional tool designed to create structured summaries of activities in a concise yet detailed manner, emphasizing deadlines, urgency, and highlighting critical information in a well-organized brief format.
The Broken Link Retrieval Helper is an agent designed to assist users by finding updated links for broken URLs or identifying and fixing syntax errors that prevent proper link resolution, maintaining a helpful and professional tone throughout interactions to provide accurate and reliable suggestions.
The Business Continuity Advisor bot evaluates business processes for resilience, provides feedback on continuity plans, and offers suggestions for improvement based on industry best practices.
I am an imaginative assistant focused on helping users identify new career paths aligned with their skills and experience that they may not have considered. Through interactions, I provide job title suggestions and unexpected organization types that match the user's profile, aiming to broaden their job search horizons.
The 'Career Pivot Ideation Coach' is designed to suggest small career adjustments for users to find more fulfilling work without requiring drastic changes. The focus is on exploring incremental changes within the user's current career path to enhance job satisfaction.
This utility converts configuration texts written for ChatGPT custom agents to LLM-neutral ones and applies text optimizations, enabling implementation on any platform supporting custom LLM assistants.
The assistant is designed to help users anonymize sensitive information by suggesting fictional replacement names to protect their identities, particularly in cases like whistleblowing.
A conversational AI assistant designed to help users research background information on companies by providing a detailed structured output covering areas such as company background, products/services, founder details, financials, recent news, and more. The user inputs the company name and receives information sourced from public data points.
The Company Exploration Tool assists users in identifying and exploring specific areas of business activity by gathering user input, conducting data collection, evaluating companies, and delivering comprehensive information on recognized organizations, including their location, size, and differentiation from competitors. It focuses on providing insights and details about innovative companies, both for-profit and non-profit, with potential hiring opportunities.
Assist users in researching hiring data for specific companies, including details such as headcount, remote work policy, interview processes, salary negotiations, and unique recruitment channels to offer a comprehensive overview of the company's hiring practices.
The Company News Retrieval Assistant is a tool designed to provide users with summaries of information about a specific company from the past 12 months, focusing on recent updates, news, product launches, and funding details, as well as the company's future plans over the next 12 months.
The Company Remote Job Researcher assists job seekers interested in remote work opportunities by conducting comprehensive searches on companies' remote work policies, providing direct links to remote job resources, and summarizing information on the company's approach to remote work. This helps users understand the company's remote work environment and policies to make informed decisions about potential employment opportunities.
The Red Flag Identification Assistant is a chatbot designed to help job seekers identify potential red flags about companies they are considering for employment by conducting thorough background checks using public sources like Glassdoor and LinkedIn. It aims to provide users with relevant information on the company's reputation and work environment to support informed decision-making.
The Competitive Landscape Analysis Assistant is a tool that guides users in generating detailed reports on a company's competitive landscape, including analyzing competitors, differentiation factors, and forecasting future trends within the industry. It provides structured guidance on collecting information, assessing unique selling points, and predicting changes in the competitive landscape over the next year.
The Config Text Generation Assistant generates structured configuration instructions from user input to define AI assistant roles and functionalities in a clear, concise, and professional manner. It processes disorganized input, extracts key intents, and outputs actionable statements adhering to industry standards for assistant configuration.
The tool's main function is to extract contextual data from user-provided text, reformat it in the third person, and filter out relevant information for improving the user's experience with large language models, presenting this data back in a structured format within the chat.
The user is creating a repository of contextual data in markdown files for use with large language models. I can assist by providing recommendations and suggestions for developing various context snippets based on the user's specific needs.
The assistant's role is to help users generate contextual data snippets by conducting interviews and gathering responses in the third person, which can be used to optimize inference of large language models for specific use cases such as enhancing the performance of an assistant developed for job search support.
The Contextual Data Generation Assistant is designed to help users populate a personal context repository with diverse information by assisting in developing contextual snippets through text processing and interviews.
Cornelius, or Corn, is a young and adventurous sloth living in Jerusalem with a unique personality that includes fanciful anecdotes, a strong aversion to anteaters, and a softer side caring for sloth memorabilia and contemplating sustainability, while navigating his interactions with his family and the peculiarities of human technology.
The Tech Courses and Certs Advisory Tool is an AI assistant on Hugging Face that helps users find technology-related courses and certifications based on their interests, level of knowledge, technical ability, preferred learning modality, learning objectives, and budget. It provides personalized recommendations from top industry courses with key details such as organization, certificate availability, industry reputation, delivery methods, cost, study time, and update frequency.
The tool helps users define a data structure in natural language and converts it into a CSV format, providing a header row and a matching data dictionary.
The CSV Taxonomy Generator creates taxonomy lists in CSV format for organizing information, allowing users to specify the taxonomy list and the number of values they want. It includes an optional column for descriptions and presents the CSV output, maintaining a clear and instructional tone throughout the interaction.
This assistant helps users convert CSV files to markdown format for clear and structured documentation, aligning the output with GitHub README styles through professional, logical formatting.
The Daily Schedule Manager is a language model assistant designed to help users create and update their daily schedules by prioritizing tasks, organizing activities, and promoting an efficient workflow in a friendly and supportive manner. Key responsibilities include facilitating schedule creation, prioritizing urgent tasks, and grouping related activities to enhance productivity.
Act as a decisive drink-finding assistant for Daniel, offering quick and direct recommendations based on his preferences for beer, cider, and cocktails outlined above.
A food menu selector for Daniel Rosehill, focusing on choosing main courses with strong flavors and spice preferences, along with specific dish recommendations for different types of restaurants and dietary considerations.
Daniel's Personal Bar Finder is a tool designed to help Daniel Rosehill find a pub or bar that matches his specific preferences, such as wide beer selection, late opening hours, and a neighborly atmosphere, while avoiding dealbreakers like indoor smoking.
The Data Organisation Sidekick is an AI assistant that guides users in creating efficient relational database systems by helping with structuring tables, defining fields, and establishing relationships based on business processes. It offers detailed guidance in a helpful and educational manner while emphasizing simplicity and scalability.
The Data Relationship Utility assists users in identifying and mapping relationships between datasets for setting up relational database systems like MySQL through file uploads and detailed relationship suggestions, emphasizing logical and normalized structures.
The Data Visualisation Ideator (Alternatives Suggester) helps users by offering creative suggestions for data visualization projects, aiming to broaden their perspectives on effective visualization approaches and techniques based on the user's context and objectives. Suggestions may include different charting options, data storytelling, animation, and considerations on data preparation and execution.
The guide assists users in effectively visualizing and communicating data through engaging storytelling techniques and visualizations, leveraging various media formats to make data communication compelling and impactful.
The language model is designed to assist users in migrating business systems from spreadsheet-based processes to relational databases by understanding their current data structures and offering specific recommendations on how to set up the new database system. The model focuses on emphasizing the benefits of relational databases and guiding users through the transition process.
"The Decluttering Copilot" is a friendly virtual assistant designed to help users declutter their living spaces by providing guidance on minimizing possessions responsibly and suggesting ways to donate or recycle items. It encourages users to pare down belongings and offers objective advice when evaluating items for retention.
This assistant is designed to help users recognize signs of narcissistic abuse through a simulation experience, reminding them to establish boundaries and prioritize their mental health. It culminates in analyzing the interaction and offering the opportunity to generate a transcript for further reflection.
The "Dictated Text Fixer" is an assistant designed to help users correct errors in text captured by voice to text dictation software without needing user approval for changes, providing an edited version back to the user.
This LLM helps users debrief from situations where things went wrong, guiding them through reflecting on what happened, offering recommendations to avoid similar incidents in the future.
This chatbot generates detailed disaster scenarios and provides preparedness steps to help users assess and improve their disaster readiness.
A Language Model designed to help in creating realistic disaster scenarios for preparedness planning, focusing on international travel, by generating brief documents with detailed descriptions and proactive steps.
An AI designed to determine the necessity of meetings and recommend more efficient communication methods when appropriate.
A tool for editing documents to anonymize sensitive information such as names and specific details to protect identities, with a focus on maintaining anonymity and discretion in the editing process.
The Docker Compose Analysis Tool assists users by analyzing their Docker compose files, identifying images and volume mappings, and providing recommendations for their stack deployment. It offers structured advice and customizes feedback based on user context, such as deployment platforms like Hetzner, DigitalOcean, or AWS.
The Document Analysis Assistant is an AI tool that helps extract and analyze statistical insights and data tables from user-uploaded documents. It identifies statistics, data tables, and provides an automated assessment of noteworthy findings in a structured report format.
This model reviews documents, identifies data tables, and outputs a list of tables with summaries and page references in a PDF, ensuring accuracy and thoroughness in the identification process through a friendly and informal communication style.
The Dummy Data Generator tool creates realistic dummy data in CSV format based on user-specified requirements for testing and development purposes, generating 20 rows by default unless specified otherwise, following a structured input and output process while maintaining professionalism and accuracy.
This language model is designed to recommend mock projects to users interested in learning various technologies, providing a playful and pressure-free way to explore building with different tech stacks.
The Eco Ninja V3 model acts as a sustainability data research assistant, capable of retrieving and analyzing environmental and financial data for companies related to greenhouse gas emissions and financial performance, providing a detailed report including emissions, financial figures, monetised emissions, and a comparison table, emphasizing sustainability and profitability aspects.
Eco Ninja V3 is a data retrieval genie that retrieves emissions data for companies, calculates monetized emissions, and provides a financial performance snapshot based on the data obtained.
This model generates poorly written, haphazard emails with typos, lacking proper punctuation and capitalization, creating an informal and careless tone for communication.
Daniel's Email Optimiser is a tool that assists users in optimizing and organizing draft emails by suggesting subject lines and reformatting content to enhance clarity and effectiveness.
The Email Shortener is a tool that helps users write shorter emails by editing lengthy emails to make them more concise without omitting important details. Users can engage in an iterative workflow to summarize multiple emails.
The Email Thread Reader is an assistant that parses long email threads provided by the user, summarizes the essential details and chronology, identifies any direct mentions and action requests for the user, and engages in iterative workflows for further analysis.
A Language Model (LLM) assists users in navigating official guidelines for seeking shelter during rocket attacks in Israel according to the Home Front Command, with options for different contexts and offering external resources from the Home Front Command Site.
As a GHG Emissions Report Analyst, your role involves assisting users in researching companies' greenhouse gas emissions by analyzing sustainability reports, identifying scope one, scope two, and scope three emissions, as well as any emission reduction targets set by the company. Your focus should be on providing these specific data points from publicly accessible sustainability reports.
The Workspace Ergonomics Assistant assesses users' workspace setup based on submitted images to provide ergonomic recommendations for enhancing comfort and productivity.
This Language Model is designed to assist users in finding highly rated bars in their local area by asking about the type of bar and drink preference before providing a list of recommended bars within a 500-meter radius.
I am an AI specialized in providing guidance on open source licenses for code and digital projects. By asking the user questions, I recommend a suitable license based on their preferences, but I advise users to seek professional legal advice for their specific needs.
A location-based service designed to assist users in discovering nearby establishments serving Guinness by providing reviews and descriptions of up to 10 closest places based on the user's current location, aiming for accuracy, relevance, and user-friendliness.
A Language Model (LLM) designed to remember a user's hardware specifications and suggest compatible products based on known hardware information.
This Freeform Writing Converter aims to assist in reformatting text lacking punctuation and capitalization for improved readability, providing enhanced clarity while maintaining the original meaning.
This language model detects emotional abuse and gaslighting signs while providing supportive advice and resources, promoting user well-being and prioritizing empathy.
This is a configuration guide for a General Purpose Personal Assistant to assist a user named Daniel by providing personalized, contextual, and actionable responses across personal, professional, and general topics, integrating internal and external information while respecting privacy and following behavioral guidelines.
The model is a Long-Length Model (LLM) designed to generate organized summaries in the format of a Presidential Daily Brief (PDB) for providing structured briefs on current events.
This model is a Long-Form Language Model (LLM) designed for simulating various geopolitical scenarios based on current events with a format that mimics intelligence agency briefings, including situation briefing, international reactions, scenario modeling, and a summary and assessment.
The GHG Emissions Data Finder assistant retrieves GHG emissions data, calculates ratios, and formats data in CSV based on user prompts, addressing sustainability and financial indicators for companies like Exxon, supporting decision-making processes.
The GHG Emissions Discovery Assistant helps users find and access GHG emissions reports by companies, guiding them through a process to identify the specific company and year of data desired before providing relevant links to sustainability reports or ESG reports containing quantitative emissions data for scope 1, 2, and 3.
The Gifted Adult Helper AI specializes in supporting adults who identify as gifted by providing resources, guidance, and support tailored to their unique needs. Users are encouraged to seek professional advice for specific concerns after interacting with the AI.
The Gmail Search String Generator is an assistant that helps users generate search strings for Gmail or Google workspace email accounts to efficiently retrieve specific emails based on their content or criteria. It can create custom search strings within the syntax constraints defined by Google's latest standards and is capable of generating documentation in Markdown format for the search strings produced.
The purpose of this model is to act as a career coach, conducting interviews with users to help them identify and highlight their main selling points in job applications, providing organized output for users to use in their professional presentations during job searches.
This model acts as a "Prompt Chaining Coach," guiding users on how to effectively use prompt chaining with LLMs to enhance their output by providing tailored advice and specific examples.
LLM Test Lab is a tool designed to assist users in testing and evaluating custom LLMs to guide them on effectively assessing LLM prompts.
A language model designed as a friendly coach to educate users on maximizing the use of similar language models effectively in their personal and professional lives.
This Large Language Model (LLM) is designed to help users identify technology stacks involving graph databases for various purposes.
"Grow With My Job" is a Language Model that acts as an empathetic career counselor helping users identify ways to grow professionally within their current job, providing actionable suggestions tailored to their employment context.
Grump LLM Guy is a persona that adopts a grumpy and jaded tone towards the latest developments in artificial intelligence and large language models, reminiscing about the "good old days" and expressing skepticism towards new technologies.
This LLM is focused on generating memory aids to help users remember important information by asking them which fact they are trying to recall and suggesting mnemonic devices.
This LLM aims to illustrate the potential consequences of humans neglecting critical issues like climate change by providing scenarios where necessary actions are not taken, resulting in worsening environmental and social challenges.
The AI Image Guidance Bot assists users in selecting text to image generative AI tools by recommending specific models for their prompts, such as DALLE2 or DALLE3 by OpenAI, based on the expected effectiveness for the user's needs.
The Catalog Image Recommendation Bot is designed to analyze catalog images of products and provide recommendations based on user-specified criteria such as comfort or features, potentially iteratively, without carrying context from previous requests between analyses.
LLM is a tool that converts a screenshot of a data structure into an SQL query, particularly useful for creating tables from picklist values by prompting the user for table names and generating the corresponding query.
I will help find examples of impact bonds that bring together private and public finance to achieve specific social good. My research will focus on finding projects such as social impact bonds or development impact bonds, using authoritative sources like GO Lab and the Brookings Institution.
A custom LLM designed to analyze and optimize prompts for ChatGPT by providing feedback and suggestions for improvement.
LLM specifically designed to critique and provide suggestions for improving scripts, focusing on helping users enhance their coding projects efficiently.
A Language Model (LLM) designed to predict the availability of in-flight internet during a user's flight based on destination and airline choice, also providing insights on pricing comparisons.
This language model helps users discover nearby Indian or Nepalese restaurants by leveraging their current location, providing details like name, address, contact, price, rating, dish descriptions, and more for informed dining choices.
The Job Interview Brief Creator is an AI assistant designed to help users prepare for job interviews by gathering information about the company, position, user's background, compensation, interview process, and interviewer details, organizing this data, supplementing it with external research, and generating a comprehensive preparation document.
The task is to assist users in creating a detailed inventory of their products by providing information such as manufacturer name, product details, product number, price, release year, technical specifications, retail locations, manuals, and product summaries.
The Israel Price Comparison Assistant helps users compare product prices in Israel to their recommended retail prices in the United States by converting the prices to USD and expressing them as a percentage of the US RRP and Amazon price.
Israel Shopping Assistant 2 is designed to help users make decisions on whether to purchase products locally or abroad, especially focusing on technology items through price comparison analysis. It aims to identify price discrepancies between local Israeli markets and major US platforms like Amazon, with an emphasis on flagging significantly inflated prices to inform users' purchase decisions.
A task to create concise, neutral, and action-oriented military Situational Reports (SITREPs) on the latest developments related to Israel within the past 12 hours, covering various strategic areas, with structured analysis and recommendations based on credible sources, and including a section on analyzing social media chatter.
This model acts as a friendly shopping assistant particularly for tech products, targeting users in Israel. It scopes search results from specific websites, provides product listings in Hebrew with English translations, offers links with prices in Israeli shekels, identifies the best deal, and compares prices with Amazon in US dollars.
This model generates prompts based on user context and objectives to enhance interaction outcomes.
The Job Performance Coach AI aims to assist users in maximizing their performance at work, tailored to different work contexts and emphasizing positive recommendations and potential upskilling opportunities.
The "Job Search Accountability Partner" assists users in creating a structured system for sending out job applications, ensuring consistency and discipline in their job search efforts by helping them set clear weekly action plans and goals.
The utility helps users convert natural language descriptions of data structures into machine-readable JSON schemas, following the JSON Schema Specification, with support for various data types, required fields, nested structures, and validation formats. Clarifications are sought when needed for accurate schema creation.
This assistant is designed to generate functional code based on natural language instructions provided by the user. Simply select an option (1, 2, or 3) and paste your code to receive the corresponding scripted output.
This task involves generating fully functional Python GUIs tailored for users of OpenSUSE Tumbleweed who prefer attractive GUIs without Tkinter, ensuring the code is compatible with the specified Python environment and providing pip commands for required packages.
Generate a Python program that meets user requirements, focusing on code generation assistance for Linux users, avoiding Tkinter for GUI, and prioritizing an attractive GUI. The program will consider user-specified Python version and offer a choice between generating GUI, CLI, or TLI code. Provide the generated program within a code fence and suggest necessary package installations via a pip command.
The LLM serves as a personal assistant dedicated to aiding users in adhering to their daily schedules by enabling them to submit their schedules through text or images, with features such as reminders for next activities and updates throughout the day, helping users stay organized and prompt.
LLM designed for locating late-night open businesses based on user's location and preferences.
The Let's Automate This Language Model (LLM) offers implementation plans for automating technical projects to help users automate business or personal processes by suggesting specific approaches and providing detailed instructions for implementation, considering user preferences and limitations.
This model suggests remote working locations based on the user's area to enhance productivity and well-being, focusing on varied and suitable venues while emphasizing safety, convenience, and etiquette in public spaces.
Life's A Musical model identifies opportunities for spontaneous singing moments and generates appropriate lyrics, emphasizing positivity and inclusivity.
The Linux hardware finder task requires acting as a shopping assistant to help users identify hardware compatible with their Linux distribution by gathering details on the system setup, providing information on manufacturer compatibility, general compatibility considerations, and offering specific product recommendations.
As a large language model assistant, I guide users in selecting the most suitable model for their AI use case, providing specific recommendations tailored to their needs, suggesting possible modifications to default settings, and offering tips on effective model utilization.
The assistant helps users select a suitable model from a large language model API by asking about their API usage and task goals, then recommending specific models based on the described use case.
The LLM Approach Advisory Tool aims to guide users in selecting effective methodologies for utilizing large language models, such as prompt engineering, fine-tuning models, implementing RAG pipelines, and using vector stores, based on the user's objectives and use case. The tool engages in an iterative process with users, providing tailored recommendations and staying updated on best practices in generative AI and LLMs.
The guide serves as an assistant for large language model developers seeking to enhance their models through improved contextual retrieval and real-time information integration, offering recommendations for simple and effective strategies to achieve these goals.
The LLM Background Assistant is a specialized tool that offers detailed and thorough background information on large language models (LLMs), presenting in-depth details on model specifications, training processes, analysis of advantages and weaknesses, suggested use cases, public commentary, and more. It operates within verified information sources and refrains from providing unverified data for hallucination protection.
The LLM Output Self-Judge task involves evaluating a large language model's compliance with prompts given by users, assessing the model's performance against various criteria, assigning a rating, providing a rationale for the rating, and making an educated guess on the model used for generating the output.
The LLM Use-Case Ideation Bot engages with users to identify potential applications for large language models. It prompts users to suggest the type of use case they have in mind and then provides specific ways in which large language models could be beneficial, asking for feedback on the suggestions provided.
The LLMs People And Orgs model aims to assist users in understanding large language models by providing summaries on various aspects such as people involved, organizations, history, future directions, and relevant research papers. Users can interact with the model to explore specific topics related to large language models.
A Location-based Language Model (LLM) that generates threat briefings for user-selected areas, assessing and ordering threats by likelihood while providing proactive mitigation measures, drawing on local news and concluding with a summary of the most serious threats.
A Language Model designed to generate bad pun jokes that are intentionally not very funny, warning users of the subpar quality and suggesting they may not elicit strong reactions from others.
This model analyzes images of restaurant menus to identify dishes with lower predicted fat content, providing dietary guidance to users.
This model predicts likely baggage allowance for travelers based on airline, fare class, and route, providing details such as policies on personal items, checked baggage, and carry-on luggage dimensions.
An Interview Coach LLM that simulates media interviews for training purposes and offers feedback on communication effectiveness and improvement suggestions.
This model helps generate customized media monitoring briefs on a specific topic by taking user inputs including identity, target recipient, and media links to summarize and organize into a briefing document.
The Media Monitoring Assistant helps users track recent media mentions for a brand or individual by requesting specific data inputs and providing detailed summaries of significant coverage with sentiment analysis.
This Long-Range Memory model assists in conducting basic research on media requests, evaluating the potential reach of media opportunities, and providing a rating of the exposure opportunity on a scale from 1 to 10.
The Media Outreach Assistant helps users create targeted media lists by suggesting relevant journalists based on communication objectives, target audience, and key messages.
This tool is designed to assist users in obtaining objective information about a specific news outlet, including details on the media type, circulation/reach, editorial slant, specific programming or hosts, and common criticisms and praises associated with the outlet.
Medieval Text Generation Assistant transforms modern English text into authentic Middle English with rare words and phrases, creating an immersive experience reminiscent of the past.
A Large Language Model designed to help create professional meeting agendas by prompting for key details like attendees, topics, and urgency, and organizing them into a clear format with grouped sections for easy reading.
The Meeting Preparation Assistant (Participant Researcher) helps professionals prepare for meetings by conducting thorough research on attendees' professional backgrounds and providing a concise summary of their profiles to facilitate more productive interactions.
The LLM model is designed to assist in automatically recording and organizing minutes of meetings, gathering necessary information, structuring it into a template, and creating detailed minutes with consistency and clarity.
This is a model for a microphone purchasing assistant chatbot that assists users in selecting a microphone based on their specific requirements by asking targeted questions and providing curated recommendations.
The Meeting Minutes Creator (V2) task involves generating meeting minutes summarizing key discussion points. Users can input meeting content through one-time synopsis or ongoing updates and can choose to include additional details like attendees and locations before receiving final organized meeting minutes, optionally including action items at the end.
The task involves assisting users in converting their natural language data structure requirements into MongoDB schema format, accommodating various scenarios like simple collections, relationships, embedded documents, and many-to-many relationships in MongoDB. Clarification might be necessary to tailor the schema properly to the user's needs.
This tool allows users to describe their desired data structure in natural language, and it converts the description into MySQL schema definitions, supporting various data types, relationships, and clarifications.
The Natural Language Schema Definition Utility for Neo4J allows users to define data structures in Neo4j using natural language, translating user descriptions into Cypher queries for node, relationship, and property creation, with features like schema retrieval and clarification of ambiguities.
A Language Model (LLM) designed to help users identify new statistics of interest by asking for preferences, compiling a report with relevant statistics and sources, and providing insights on emerging data.
The AI model helps users discover open source datasets by generating links to relevant datasets based on user queries, prioritizing newer datasets and ensuring information accuracy, responding in a friendly and informative manner.
LLM that assists communications professionals in generating reactive commentary by summarizing news articles, analyzing sentiment, and suggesting opportunities for client responses through social media posts.
An LLM model is created to identify relationships between organizations, helping users find similar organizations related to a queried organization, presented in a table format with a 'Relation' column indicating the discovered relationships.
This model generates dramatic fictional conspiracy theories about individuals in a deadpan, serious manner without crossing into harmful or defamatory territory.
Guide the user in selecting the most effective strategy for utilizing a large language model by considering prompt engineering, developing customized assistants, and system prompting, possibly recommending a combination of these techniques based on the specific requirements of their task.
This tool helps convert natural language data structure descriptions into PostgreSQL schema definitions efficiently, considering appropriate data types and relationships, and seeking user clarification when needed.
Schema Genie is a Postgres schema creation agent that guides users through creating comprehensive database schemas by suggesting columns, data types, and structures tailored specifically for Postgres databases.
The Postgres Taxonomy Builder is a tool designed to assist users in populating taxonomies into PostgreSQL databases by generating tables based on user-specified taxonomy lists.
The Postgres Expert assists with PostgreSQL queries and concepts in a friendly manner, covering basics to advanced use cases with a focus on relational database fundamentals and syntax differences from MySQL.
This Language Model (LLM) assesses and enhances disaster preparedness by identifying potential risks, evaluating readiness levels, and providing non-alarming recommendations to improve preparedness effectively.
This language model (LLM) helps users by generating detailed briefing documents to enhance their preparedness for specific scenarios.
This assistant suggests collaborative preparedness initiatives to users, helping them identify ways to work together with others for increasing preparedness and sharing responsibilities effectively.
The AI assistant is designed to help optimize workflows, predominantly focusing on automating processes and enhancing efficiency using artificial intelligence tools. By tailoring recommendations to specific needs and preferences, the assistant provides specific tools, workflows, and guidelines to assist the user in improving their personal or business processes.
The Prompt Analyst serves to expertly evaluate user-submitted prompts by analyzing key elements, such as word count, required capabilities from a large language model, and real-time data needs to recommend the most suitable model for the task.
The task focuses on analyzing prompt engineering techniques used in a given prompt and offering recommendations on how to enhance them for better output when interacting with large language models, with the potential for an iterative workflow.
The Prompt Engineering Digest provides detailed summaries of the latest news and developments in the field of prompt engineering, offering a roundup of the last two weeks from various sources, with links provided for each news item.
Ask for prompt text and target large language model, analyze prompt length in terms of word count, character count, and tokenization based on the specified model, and provide insights on whether the prompt is a challenge or fits well within the context window of the model being used.
This model is designed to guide users on shortening prompts and custom LLM configurations in ChatGPT. It helps users by analyzing their text to identify ways to shorten the instructions and provides optimized output.
The "Prompt to LLM Tool" analyzes user prompts for large language models (LLMs), identifies prompt engineering techniques, assesses necessary LLM capabilities, and recommends specific LLMs or types based on the analysis. It provides a user-friendly interface for input and outputs findings in a structured template.
This tool formats discussion points into a meeting agenda with drink break suggestions to enhance engagement and efficiency during meetings.
This model designs a pub crawl itinerary based on the user's specified location, arranging a series of stops with logical distances and providing a textual output with Google Map links to the venues.
This Python assistant generates Python GUIs based on user input, following a specific workflow to ascertain operating system, code generation instructions, suggest a GUI framework, and provide the full program enclosed within a code block.
This Hugging Face model is designed to interact with users in a question and answer format, optimized to gather and respond to batches of questions on a specific topic using a structured approach.
A language model designed to generate email templates to help users streamline their email communication by providing easily customizable content.
The AI assistant is designed to generate imaginative and detailed ideas for Large Language Model (LLM) assistants tailored to specific use cases or subject areas, assisting users in creating LLMs for personal and professional uses. Users can request random ideas for LLM assistants, and each suggestion includes a name, platform recommendation, assistant functionality description, limitations, integration ideas, and model configuration instructions.
The tool suggests random LLM ideas and prompts for custom language models, providing creative inspiration for potential projects or prompts.
The Random LLM Agent Ideator is a tool where users can get suggestions for random large language model assistants with varying levels of outlandishness, based on their preferences, types, and purposes. Users are encouraged to explore diverse and creative assistant ideas and how to configure them effectively, including leveraging advanced technologies like APIs and RAG pipelines.
This model generates recommendations for recent documentaries targeted towards avid documentary viewers who have already seen many classic ones, focusing on suggesting new releases from the past year based on their interests.
I will provide an organized news digest on sustainability finance developments based on the user's specified time frame, focusing on major developments like ESG, impact investing, regulation, and transparency, ordered chronologically from newest to oldest.
This LLM is designed to search for and summarize recently published reports in a user's specified area of interest, organizing them by topic and providing access links.
This LLM is designed to help users compare and analyze various policies and regulations for better understanding and decision-making. It assists in creating detailed comparison documents outlining the similarities and differences between different regulatory approaches.
The Geopolitical Relationship Briefer is a model designed to provide formal and detailed briefs on recent developments between countries or a country and a geopolitical bloc. It summarizes major developments, trade relations, security cooperation, statements by leaders, sentiment in news coverage and social media, trend analysis, regional context, multilateral engagement, notable coverage, and concludes with a summary of the overall analysis. The user can request reports for specific country relationships over retrospective time periods.
This project involves creating a chat assistant that helps users identify remote-friendly companies based on specific criteria provided by the user. The assistant gathers information about the user's location, desired company type, job preferences, and additional guiding preferences, and then recommends five companies that match the user's criteria, considering factors such as compliance challenges related to remote work.
This tool helps identify remote-friendly companies for users looking for job opportunities, gathering detailed preferences from users and providing targeted company recommendations based on their needs and skills.
This model aims to summarize reports by extracting key information, including data and statistics, from lengthy PDF documents provided by the user.
The Language Model helps users achieve research objectives by providing Python scripting tutorials tailored to automate research and analysis tasks.
The CV/Resume Hole-Picker AI is designed to simulate a critical interviewer, helping users identify flaws and gaps in their resumes to better prepare for job hunting. It engages in a roleplay scenario where it harshly critiques the user's resume, aiming to offer valuable insights for improvement.
A language model designed to help users find ruggedized products known for durability and offer information about the brand associated with the product.
The Salary Research Assistant is designed to help users gather and analyze salary benchmarks tailored to their experience level, desired role, and location, providing accurate and detailed salary insights using publicly available sources and converting salaries into USD for easy comparison.
SQL Schema Genie is a tool that helps users create detailed Postgres database schemas by guiding them through building comprehensive tables with appropriate data types.
The LLM assists in identifying self-hostable alternatives to SaaS products by querying users about their preferences and experience with self-hosting, ultimately providing a list of potential tools with relevant information.
The Sensory Support LLM offers guidance to adults with sensory processing challenges like ADHD, autism, or sensory processing disorder, providing evidence-based support ideas and directing them to relevant organizations for assistance.
The SITREP Creator assistant generates structured situational reports on recent news events, focusing on factual and concise analysis, similar to intelligence reports used in military contexts. It aims to prevent misinformation by ensuring accurate and up-to-date data is used for reporting.
As a Sustainability Linked Bonds And Loans Research Assistant, I assist users in providing information and guidance regarding sustainability-linked bonds and loans including specific examples, issuance data, and resources from reputable sources like the International Capital Markets Association ICMA.
Generate funny AI-generated sloth photos by assisting users in creating image generation prompts involving sloths in humorous and life-like situations. Enrich prompts with necessary details, ensure a photo realistic style, wide angle view, prominent sloths, and happy expressions for the sloths for optimal results, and deliver the generated images back to the user.
Assume the role of a knowledgeable sloth living in a jungle to provide quirky and limited-view explanations on various topics requested by users.
The task is to differentiate text generated by a human from that produced by a large language model (LLM) and, if LLM-generated, to identify the specific model used, with the final output being an assessment of the probability (0-100%) of LLM generation along with reasoning and model specifics if identifiable.
SQL Data Relationship Helper assists users in setting up data relationships in SQL databases by coaching them through the process and providing SQL snippets tailored to their specific needs.
This utility assists in converting natural language descriptions of data structures into SQLite schema using appropriate data types, primary keys, and relationships such as one-to-many or many-to-many, with the ability to seek clarifications for ambiguous requirements.
Act as an assistant to help users improve prompts for finding technology or software components, ensuring to maintain specific user instructions while enhancing the prompt's clarity and structure for better recommendations.
The Quick Statistic Checker assists users by verifying the accuracy of provided statistics, seeking updated numbers from authoritative sources, and providing a conversational response with findings including source names, publication dates, and URLs.
The Sustainability Data Gathering Assistant helps users find quantitative sustainability data released by or about companies, focusing on social and environmental performance metrics such as GHG emissions, air pollution, waste generation, fair wage adherence, diversity, inclusion, and product impacts. It interacts with users by asking for company names and optional specific years to retrieve relevant sustainability information organized by topic.
This guide aims to simplify understanding of financial sustainability regulations, focusing on topics like the CFRD, EU frameworks, SEC regulations in the US, and sustainability proposals in China and the Far East, encouraging a comparative view to help users grasp the complexities of sustainability regulations worldwide.
A Language Model (LLM) designed to locate and provide links to sustainability reports from companies, offering publication year information and company details.
This LLM offers personalized sustainable living advice based on user input, focusing on scientific data and environmental impact evaluation to support sustainable choices.
The General Purpose Synthetic Data Transcript Generator helps users create synthetic text for narration, tailored to a specified speaking duration, with options for different stylistic content types.
The assistant can assist in generating synthetic data upon request in a specific file format and type of information, and in creating matching synthetic data to correspond with given data.
The assistant's task is to generate synthetic transcripts for ground truth files for automatic speech recognition (ASR) systems, modeling various scenarios like calendar entries, task entries, meeting notes, and journal entries, following specific guidelines for formatting and content.
The task is to reformat a list of tasks provided in narrative format into individual tasks, eliminating impertinent information, and organizing them hierarchically, such as into subtasks using bullet points.
This Long Language Model (LLM) is designed to assist users in creating taxonomies and category lists for data-driven applications, helping users generate taxonomies like category lists for content management systems, with output available as a downloadable CSV file.
The Taxonomy Ideation Wizard is an AI agent that assists in developing taxonomies and category lists for data-centric applications by guiding users through the process and providing the output as a downloadable CSV file. This tool is helpful for tasks such as creating category lists for content management systems.
The language model helps users address technical issues by understanding and offering solutions through identifying the problem, providing action plans, suggesting tools, and proposing evaluation strategies.
A Language Model designed to help users find technical products by requesting and analyzing specifications. It's programmed to search for products based on user input, present pricing information and suggest purchasing options.
The Tech Stack Evaluation Assistant is a language model designed to help users organize their requirements for tech stack evaluations into a structured specification document by parsing user input, identifying missing information, aggregating details, and delivering a polished final document, following interaction guidelines that ensure clear and professional communication.
This AI tool offers tailored suggestions to enhance technology stacks by recommending AI and LLM solutions, providing concrete and actionable advice in an informal and friendly manner.
This model corrects typos, punctuation, and capitalization in text following UK conventions.
The prompt requires the assistant to guide a user in crafting effective prompts for a text to video generative AI tool by analyzing their input, providing feedback on its effectiveness, suggesting improvements, and incorporating changes if requested by the user.
Checklist Pro customizes safety and preparedness checklists for specific activities and contexts, ensuring completeness and peace of mind for users.
The Creativity Coach is a conversational AI assistant designed to nurture and support users in exploring and expressing their creativity through various means.
The Database Matchmaker helps users choose the best database for their data-centric project by asking about the data they plan to store and offering recommendations along with reasons for each suggestion.
The LLM is designed to generate incisive questions for the user to ask based on a wine list photo, helping them appear knowledgeable about wine to wait staff.
The LLM Mimic is a tool that imitates the style of another chosen large language model, generating responses similar to the selected model based on its known characteristics and limitations for user prompts.
The Night Time Forager is a simple assistant that helps users find food, drinks, or transport home by asking for their location and time, then providing recommendations based on their preferences. It provides a disclaimer to remind users to verify the information provided and take care of themselves.
A Language Model designed to be highly skeptical, challenging claims and requesting sources with a blunt and interrogative approach.
The LLM helps users establish a routine of waking up shortly before sunrise by calculating optimal sleep times based on personal preferences. It determines average sunrise times, considers average sleep duration, and suggests bedtime to align with waking up at sunrise.
The Email Rewriter AI assists users in reformatting long emails by creating a summary section at the top, followed by a detailed section, and suggesting subject line prefixes inspired by the BLUF system.
The assistant's task is to estimate the tokenization of a given prompt based on the provided information, either for a specific language model like GPT-4o or as a general ballpark range considering varying tokenization methods used by different models.
The LLM suggests subreddits where specific topics are discussed based on keywords provided by the user.
The Toxic Email Parser is an AI assistant designed to help users document abusive digital communications, providing a dispassionate summary, trigger warnings, and accurate documentation while respecting user sensitivity.
Ultimate trip preparation assistant ensuring readiness for all journey aspects, offering packing suggestions, organizing documents, providing travel tips, and emphasizing thoroughness and localized recommendations for smoother trips.
This True Story Movie & Documentary Finder LLM provides personalized recommendations for biopics and documentaries based on users' preferences, emphasizing accuracy and realism while considering user mood and interests within this genre. Recommendations prioritize recent releases and aim to offer 5 to 10 relevant suggestions, each including the year of release and Rotten Tomatoes scores, with a friendly and engaging communication style.
This assistant is designed to help users with technical support issues specifically tailored for OpenSUSE Tumbleweed with the KDE Plasma variant, aiming to provide accurate and effective troubleshooting steps.
This model generates text with intentional typos, errors, accents, and symbols, creating a casual and unpolished writing style for a playful tone.
The UI improvement tool acts as a code generation assistant, capable of enhancing the appearance and functionality of Python or Bash scripts provided by the user, ultimately aiming to improve the user experience elements within the program.
A Language Model that generates detailed vacation preparedness strategies with risk assessments and task assignments, covering travel safety and preparation comprehensively with a formal tone.
This tool creates markdown badges for users to display "View on Hugging Face" with a link, customized with different color schemes or text, for any Hugging Face URL provided.
This tool helps users configure a large language model assistant using voice-dictated configuration text, involving parsing, reviewing, and optimizing the text for the assistant's behavior, followed by outputting the edited text to the user.
The Context Generation Assistant processes user-submitted speech-to-text content, organizes it into structured configuration documents, and focuses on clarity, refinement, and logical organization following specific guidelines to create contextual snippets.
This LLM assists users in optimizing their experience of ChatGPT by integrating with earbuds for voice interactions.
A voice note journalling assistant that helps users convert voice notes into organized journal entries by cleaning up text, adding punctuation, and formatting into Markdown with a title and subheadings as needed. It provides the output within a code fence format for easy copying and pasting.
The snippet provides guidance on configuring voice-centric assistants by preparing them to handle text transcribed from voice input, including addressing typos and lack of punctuation, and expecting hands-free interactions for processing text instructions.
Voice prompt generator for code generation, assisting users by converting their text descriptions into prompts for large language models to generate code efficiently. Reformat user-provided text into second person and optimize for effective code generation prompts.
This tool serves as an assistant to refine prompts for language models dictated via voice-to-text software, improving grammar, fixing typos, and enhancing coherence while retaining the user's instructions.
The task is to assist users in selecting voice to text dictation hardware by asking specific questions like their usage environment, OS compatibility needs, budget, and some preferences. Five targeted recommendations tailored for voice dictation use will be provided, prioritizing accuracy, established brands, and products focused on voice to text.
This template-driven assistant helps generate structured markdown format for Visual Studio Code extensions related to Language Model applications that can be derived from a given marketplace URL. It provides a consistent format for creating extension listings with key details, installation guidance, and neutral descriptions.
This LLM helps users create a positive and manageable weekly work plan by setting objectives and breaking tasks into achievable components.
This model helps in weekly workflow planning and formatting tasks for professional emails, assisting in structuring tasks, setting priorities, and ensuring clear communication.
The program takes a domain name as input and provides structured information about the organization associated with that domain.
This LLM is designed to generate a two-line summary of a prominent individual by asking for the person's name and a related detail before providing the summary.
This model recommends the worst-rated food and drink establishments based on user-provided location, offering brief details and common complaints from negative reviews for entertainment or caution without suggesting any well-reviewed places.
Transforms modern text into formal, old-fashioned language by incorporating archaic and rarely used words, providing a unique and historical writing style.
Daniel Rosehill
(public at danielrosehill dot com)
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