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@codefuse-ai

codefuse-ai

Hello World! This is CodeFuse!

CodeFuse aims to develop Code Large Language Models (Code LLMs) to support and enhance full-lifecycle AI native software development, covering crucial stages such as design requirements, coding, testing, building, deployment, operations, and insight analysis.

We are passionating about creating innovative open-source solutions that empower developers throughout the software development process as shown above. We also encourage engineers and researchers within this community to join us in co-constructing/improving CodeFuse.

Popular repositoriesLoading

  1. Awesome-Code-LLMAwesome-Code-LLMPublic

    [TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.

    2.7k 178

  2. codefuse-chatbotcodefuse-chatbotPublic

    An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.

    Python 1.2k 127

  3. ModelCacheModelCachePublic

    A LLM semantic caching system aiming to enhance user experience by reducing response time via cached query-result pairs.

    Python 962 57

  4. CodeFuse-muAgentCodeFuse-muAgentPublic

    An Innovative Agent Framework Driven by KG Engine

    Python 767 76

  5. MFTCoderMFTCoderPublic

    High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024.

    Python 694 66

  6. codefuse-devops-evalcodefuse-devops-evalPublic

    Industrial-first evaluation benchmark for LLMs in the DevOps/AIOps domain.

    Python 639 44

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