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Large Language Model Training Resources · Awesome GitHub Repositories

4 repos

Awesome GitHub RepositoriesLarge Language Model Training Resources

Technical documentation and tools for fine-tuning, inference, and efficient training of LLMs.

Explore 4 awesome GitHub repositories matching artificial intelligence & ml · Large Language Model Training Resources. Refine with filters or upvote what's useful.

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  • fighting41love/funNLP

    fighting41love/funNLP

    78,999GitHubView on GitHub↗

    This project is a community-driven knowledge base and curated repository focused on natural language processing and large language model development. It serves as a centralized index for high-quality tools, libraries, and research materials, organizing technical resources into structured, version-controlled documentati

    Python
  • mlabonne/llm-course

    mlabonne/llm-course

    75,340GitHubView on GitHub↗

    This project is a comprehensive educational curriculum and engineering handbook focused on the lifecycle of large language models. It serves as a structured knowledge base for machine learning practitioners, covering the fundamental mathematical and architectural principles of transformer-based sequence modeling, as we

    courselarge-language-modelsllm
  • dair-ai/Prompt-Engineering-Guide

    dair-ai/Prompt-Engineering-Guide

    70,526GitHubView on GitHub↗

    This project is a comprehensive educational resource and knowledge base dedicated to the development and application of large language models and autonomous agentic systems. It provides a structured framework for understanding prompt engineering, context management, and the architectural patterns required to build task

    MDXagentagentsai-agents
  • meta-llama/llama

    meta-llama/llama

    59,157GitHubView on GitHub↗

    Llama is a computational framework and runtime environment designed for executing transformer-based neural networks locally. It functions as a generative AI inference engine, enabling the processing of input sequences through pre-trained model weights to produce text completions and structured data outputs directly on

    Python