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https://github.com/LazyAGI/LazyLLM
Easiest and laziest way for building multi-agent LLMs applications.
https://github.com/LazyAGI/LazyLLM
agents ai-agent data deep-learning documentation-tool finetuning framework knowlege-graph langchain lazyllm llamaindex llm llms rag
Last synced: 29 days ago
JSON representation
Easiest and laziest way for building multi-agent LLMs applications.
- Host: GitHub
- URL: https://github.com/LazyAGI/LazyLLM
- Owner: LazyAGI
- License: apache-2.0
- Created: 2024-06-04T05:01:45.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-11-12T08:04:08.000Z (about 1 month ago)
- Last Synced: 2024-11-12T09:18:57.632Z (about 1 month ago)
- Topics: agents, ai-agent, data, deep-learning, documentation-tool, finetuning, framework, knowlege-graph, langchain, lazyllm, llamaindex, llm, llms, rag
- Language: Python
- Homepage: https://docs.lazyllm.ai/
- Size: 7.61 MB
- Stars: 1,018
- Watchers: 12
- Forks: 67
- Open Issues: 21
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Metadata Files:
- Readme: README.CN.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.cn.md
Awesome Lists containing this project
- awesome-LLM-resourses - LazyLLM
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- Awesome-Chinese-LLM - https://github.com/LazyAGI/LazyLLM
- Awesome-LLM-RAG-Application - LazyLLM
- StarryDivineSky - LazyAGI/LazyLLM - > 数据反馈 -> 迭代优化工作流程。这意味着您可以使用 LazyLLM 快速构建原型应用程序,然后使用特定于任务的数据分析不良情况,然后在应用程序的关键阶段迭代算法和微调模型,以逐步提高整体性能。 (A01_文本生成_文本对话 / 大语言对话模型及数据)
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