diff --git a/README.md b/README.md index a4daf69..e4ba8d7 100644 --- a/README.md +++ b/README.md @@ -3,9 +3,8 @@ # Multi Modal Mamba - [MMM] Multi Modal Mamba (MultiModalMamba) is an all-new AI model that integrates Vision Transformer (ViT) and Mamba, creating a high-performance multi-modal model. MultiModalMamba is built on Zeta, a minimalist yet powerful AI framework, designed to streamline and enhance machine learning model management. -The capacity to process and interpret multiple data types concurrently is essential, the world isn't 1dimensional. MultiModalMamba addresses this need by leveraging the capabilities of Vision Transformer and Mamba, enabling efficient handling of both text and image data. This makes MultiModalMamba a versatile solution for a broad spectrum of AI tasks. MultiModalMamba stands out for its significant speed and efficiency improvements over traditional transformer architectures, such as GPT-4 and LLAMA. This enhancement allows MultiModalMamba to deliver high-quality results without sacrificing performance, making it an optimal choice for real-time data processing and complex AI algorithm execution. A key feature of MultiModalMamba is its proficiency in processing extremely long sequences. +The capacity to process and interpret multiple data types concurrently is essential, the world isn't 1dimensional. MultiModalMamba addresses this need by leveraging the capabilities of Vision Transformer and Mamba, enabling efficient handling of both text and image data. This makes MultiModalMamba a versatile solution for a broad spectrum of AI tasks. -This capability is particularly beneficial for tasks that involve substantial data volumes or necessitate a comprehensive understanding of context, such as natural language processing or image recognition. With MultiModalMamba, you're not just adopting a state-of-the-art AI model. You're integrating a fast, efficient, and robust tool that is equipped to meet the demands of contemporary AI tasks. Experience the power and versatility of Multi Modal Mamba - MultiModalMamba now! ## Install `pip3 install mmm-zeta`