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  • 1
    All-in-RAG

    All-in-RAG

    Big Model Application Development Practice 1

    All-in-RAG is an open-source educational project designed to teach developers how to build applications using retrieval-augmented generation techniques. The repository provides a structured learning path that covers both theoretical foundations and practical implementation steps for RAG systems. It explains the full development pipeline required to create knowledge-aware AI assistants, including data preparation, document indexing, vector embedding generation, and retrieval strategies. ...
    Downloads: 2 This Week
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  • 2
    Gorilla

    Gorilla

    Gorilla: An API store for LLMs

    ...With Gorilla, we are the first to demonstrate how to use LLMs to invoke 1,600+ (and growing) API calls accurately while reducing hallucination. We also release APIBench, the largest collection of APIs, curated and easy to be trained on! Join us, as we try to expand the largest API store and teach LLMs how to write them! Hop on our Discord, or open a PR, or email us if you would like to have your API incorporated as well.
    Downloads: 1 This Week
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  • 3
    llms-from-scratch-cn

    llms-from-scratch-cn

    Build a large language model from 0 only with Python foundation

    llms-from-scratch-cn is an educational open-source project designed to teach developers how to build large language models step by step using practical code and conceptual explanations. The repository provides a hands-on learning path that begins with the fundamentals of natural language processing and gradually progresses toward implementing full GPT-style architectures from the ground up. Rather than focusing on using pre-trained models through APIs, the project emphasizes understanding the internal mechanisms of modern language models, including tokenization, attention mechanisms, transformer architecture, and training workflows. ...
    Downloads: 1 This Week
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  • 4
    Learn AI Engineering

    Learn AI Engineering

    Learn AI and LLMs from scratch using free resources

    ...Rather than a loose bookmark list, it organizes topics into a progression so learners can start from fundamentals and move toward practical, production-oriented skills. It mixes courses, articles, code labs, and videos, emphasizing materials that teach both concepts and hands-on implementation. The curation recognizes modern AI realities, including data pipelines, evaluation, prompt engineering, retrieval-augmented generation, and cost/performance trade-offs. It’s equally useful for refreshers—dipping into a specific module before a project—as it is for a full, self-directed curriculum. ...
    Downloads: 3 This Week
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  • 5
    RAG from Scratch

    RAG from Scratch

    Demystify RAG by building it from scratch

    RAG From Scratch is an educational open-source project designed to teach developers how retrieval-augmented generation systems work by building them step by step. Instead of relying on complex frameworks or cloud services, the repository demonstrates the entire RAG pipeline using transparent and minimal implementations. The project walks through key concepts such as generating embeddings, building vector databases, retrieving relevant documents, and integrating the retrieved context into language model prompts. ...
    Downloads: 0 This Week
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  • 6
    AI Agents From Scratch

    AI Agents From Scratch

    Demystify AI agents by building them yourself. Local LLMs

    AI Agents from Scratch is an educational repository designed to teach developers how to build autonomous AI agents using large language models and modern AI frameworks. The project walks through the process of constructing agents step by step, beginning with simple prompt-based interactions and gradually introducing more advanced capabilities such as planning, tool use, and memory. The repository provides example implementations that demonstrate how language models can interact with external systems, perform reasoning tasks, and execute structured workflows. ...
    Downloads: 0 This Week
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  • 7
    Huatuo-Llama-Med-Chinese

    Huatuo-Llama-Med-Chinese

    Instruction-tuning LLM with Chinese Medical Knowledge

    ...The project builds specialized models by fine-tuning architectures such as LLaMA, Alpaca-Chinese, and Bloom with curated medical datasets. These datasets are constructed from medical knowledge graphs, academic literature, and question-answer pairs designed to teach models how to respond accurately to healthcare-related queries. The goal of the project is to improve the reliability and domain expertise of language models when answering medical questions or assisting with healthcare-related tasks. By combining domain-specific training data with instruction-tuning techniques, the project produces models capable of generating more accurate medical responses than general-purpose models.
    Downloads: 0 This Week
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  • 8
    second-brain-ai-assistant-course

    second-brain-ai-assistant-course

    Learn to build your Second Brain AI assistant with LLMs

    The Second Brain AI Assistant Course is an open-source educational project designed to teach developers how to build a personal AI assistant that interacts with a user’s knowledge base. The course provides a structured curriculum that walks learners through the architecture and implementation of a production-ready AI system powered by large language models. The concept of a “second brain” refers to a personal knowledge repository containing notes, research, and documents that can be queried and analyzed using AI. ...
    Downloads: 0 This Week
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  • 9
    Easy-Vibe

    Easy-Vibe

    Tutorial on Product Prototype, AI Capability Integration

    Easy-Vibe is an open-source educational project designed to teach developers, product managers, and beginners how to build AI-powered applications using the emerging concept of “vibe coding,” a development approach that relies heavily on AI-assisted programming tools. The project provides a structured curriculum that guides learners from having no programming experience to building fully functional AI-integrated applications.
    Downloads: 0 This Week
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  • 10
    tiny-llm

    tiny-llm

    A course of learning LLM inference serving on Apple Silicon

    tiny-llm is an educational open-source project designed to teach system engineers how large language model inference and serving systems work by building them from scratch. The project is structured as a guided course that walks developers through the process of implementing the core components required to run a modern language model, including attention mechanisms, token generation, and optimization techniques.
    Downloads: 0 This Week
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  • 11
    ToRA

    ToRA

    Tool-integrated Reasoning LLM Agents

    ...The framework was designed to address known weaknesses of large language models in mathematical problem solving and formal reasoning tasks. Training data includes tool-use trajectories that teach the model when to reason verbally and when to delegate tasks to specialized tools.
    Downloads: 0 This Week
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