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Vector Embedding is the core of current Retrieval Augmented Generation (RAG) applications. They capture semantic information of data objects (e.g., text, images, etc.) and represent them as arrays of numbers. In current generative AI applications, these vector Embedding are usually composed of Embedd...

Highlights Analytics 1.58-bit FLUX, the first quantization model that reduces the parameters of the FLUX Visual Transformer (totaling 11.9 billion) by 99.5% to 1.58-bit, eliminating the need to rely on image data and drastically reducing storage requirements...

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General Description 500MRR is a website dedicated to collecting and analyzing posts on Hacker News titled "Side Hustle Programs to Make $500 a Month". Using advanced AI modeling, 500MRR processes these posts into a browsable database that makes it easy for users to quickly check...

General Introduction MagicMirror is an innovative AI image processing tool focused on providing users with a convenient portrait editing experience. It uses advanced AI technology to enable users to easily change their faces, change their hairstyles and try out different dressing effects. As a lightweight app, its an...

Writing Project Documentation Prompt Words Original You are my software architect. you will help me write down specific user stories and **f...

Preface Over the past two years, Retrieval-Augmented Generation (RAG, Retrieval-Augmented Generation) technology has emerged as a central component of enhancing intelligences. By combining the dual capabilities of retrieval and generation, RAG is able to bring in external knowledge to...

General Introduction ebook2audiobook is a powerful open source ebook to audiobook tool. It is capable of converting eBooks in multiple formats into audiobooks with full chapter markers and metadata. The tool uses Calibre for eBook format conversion using Co...

General Introduction Memary is an innovative open source project focused on providing long-term memory management solutions for autonomous intelligences. The project helps intelligences break through the limitations of traditional context windows to achieve smarter interaction experiences through knowledge graphs and specialized memory modules.Memary adopts...

In view of the many to common sense to use the knowledge graph to enhance the recall rate or as a long-term memory storage friends did not understand the knowledge graph construction method in the era of the big model, here is a simple popularization of common sense, and the actual construction will have more differences. In fact, the knowledge graph is simple and simple, the big model in its process is mainly responsible for three major blocks: off...