Local Knowledge Graph is a Flask-based web application that uses a local Llama language model to process user queries, generate step-by-step reasoning, and visualize the thought process in an interactive knowledge graph format. It can also find and display relevant questions and answers based on semantic similarity. Key advantages of this application include real-time visualization of the reasoning process, dynamic knowledge graph representation, computation and display of the strongest reasoning paths, and related Q&A based on semantic similarity.

AI Timeline is an open-source project that records significant technological milestones in the field of artificial intelligence. It meticulously chronicles key developments in AI technologies, including text-to-image, text-to-video, and large language models. The project is built with Vue and TypeScript, providing a platform for AI enthusiasts and researchers to explore the history and trends of AI.

IncarnaMind is an open-source project aimed at enabling conversational interactions with personal documents (PDF, TXT) using large language models (LLMs) such as GPT, Claude, and local open-source LLMs. The project enhances query efficiency and improves the accuracy of LLMs through a sliding window chunking mechanism and integrated retrievers. It supports multi-document conversational Q&A, overcoming the limitations of single-document interaction while being compatible with various file formats and LLM models.

GraphRAG-Ollama-UI is a local adaptation version of Microsoft's GraphRAG, supporting local model support using Ollama. A interactive user interface is provided through the Gradio UI, making it more convenient for users to manage data, run queries and visualize results. The main advantages of this model include local model support, cost-effectiveness, interactive user interface, real-time graph visualization, file management, settings management, output exploration, and logging.

GenAI Handbook is a guide designed to help learners grasp the key concepts of modern artificial intelligence systems. Written by William Brown, it aims to curate and organize high-quality explanatory resources found across the internet into a textbook-style presentation, serving as a roadmap for individuals to achieve their AI-related learning goals. This handbook caters to individuals with a technical background, whether driven by curiosity or potential career development, allowing them to explore the latest innovations in artificial intelligence.

MaxKB is an enterprise-grade knowledge base question-answering system powered by LLMs. It aims to be the ultimate brain for businesses. Features include document upload, automatic online document crawling, and a smart question-answering experience. It also supports quick embedding into third-party business systems. The tech stack includes Vue.js, Python/Django, Langchain, and PostgreSQL/pgvector.

This GitHub repository serves as a centralized hub for resources related to generative artificial intelligence, including the latest research papers, interview questions, course materials, and code notebooks. The content is updated regularly to ensure developers and professionals can stay up-to-date with the latest advancements and boost productivity. Key resources include abstracts of papers, categorized interview questions, lists of free courses, and open-source notebooks, as well as usage scenarios and examples.

KarpathyLLMChallenge is an educational website dedicated to explaining and demonstrating the importance and complexity of tokenization in language models (LLMs). Through detailed articles and examples, it helps users understand how tokenization affects the performance and capabilities of language models.

Local Knowledge Graph is a Flask-based web application that uses a local Llama language model to process user queries, generate step-by-step reasoning, and visualize the thought process in an interactive knowledge graph format. It can also find and display relevant questions and answers based on semantic similarity. Key advantages of this application include real-time visualization of the reasoning process, dynamic knowledge graph representation, computation and display of the strongest reasoning paths, and related Q&A based on semantic similarity.

AI Timeline is an open-source project that records significant technological milestones in the field of artificial intelligence. It meticulously chronicles key developments in AI technologies, including text-to-image, text-to-video, and large language models. The project is built with Vue and TypeScript, providing a platform for AI enthusiasts and researchers to explore the history and trends of AI.

IncarnaMind is an open-source project aimed at enabling conversational interactions with personal documents (PDF, TXT) using large language models (LLMs) such as GPT, Claude, and local open-source LLMs. The project enhances query efficiency and improves the accuracy of LLMs through a sliding window chunking mechanism and integrated retrievers. It supports multi-document conversational Q&A, overcoming the limitations of single-document interaction while being compatible with various file formats and LLM models.

GraphRAG-Ollama-UI is a local adaptation version of Microsoft's GraphRAG, supporting local model support using Ollama. A interactive user interface is provided through the Gradio UI, making it more convenient for users to manage data, run queries and visualize results. The main advantages of this model include local model support, cost-effectiveness, interactive user interface, real-time graph visualization, file management, settings management, output exploration, and logging.

GenAI Handbook is a guide designed to help learners grasp the key concepts of modern artificial intelligence systems. Written by William Brown, it aims to curate and organize high-quality explanatory resources found across the internet into a textbook-style presentation, serving as a roadmap for individuals to achieve their AI-related learning goals. This handbook caters to individuals with a technical background, whether driven by curiosity or potential career development, allowing them to explore the latest innovations in artificial intelligence.

MaxKB is an enterprise-grade knowledge base question-answering system powered by LLMs. It aims to be the ultimate brain for businesses. Features include document upload, automatic online document crawling, and a smart question-answering experience. It also supports quick embedding into third-party business systems. The tech stack includes Vue.js, Python/Django, Langchain, and PostgreSQL/pgvector.

This GitHub repository serves as a centralized hub for resources related to generative artificial intelligence, including the latest research papers, interview questions, course materials, and code notebooks. The content is updated regularly to ensure developers and professionals can stay up-to-date with the latest advancements and boost productivity. Key resources include abstracts of papers, categorized interview questions, lists of free courses, and open-source notebooks, as well as usage scenarios and examples.

The UIED User Experience Learning Platform is created by the UIED design team and focuses on the field of AIGC technology. This platform aims to provide comprehensive tutorials, case studies, and practical projects for designers who wish to delve deeper into AIGC and AI technology. Through UIED, designers can learn how to operate AIGC tools, explore use cases of AI in design, and utilize these technologies to optimize their design processes and improve their creative quality.