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Large Model Application

项目相关内容

  • 大模型Api&Web部署 g1

  • 大模型微调:

    • 选择ChatGLM3-6B作为基座模型，使用不同的方式微调（Freeze/Lora/P-Tuning/全参数），并对比大模型在不同微调方法上的效果，主要针对生成任务和分类任务等。 g3

  • RAG涉及技术（长文档检索、文档分类）

    • LangChain
    • Faiss
    • Embedding（Sentence Transformer）
    • LlamaIndex
    • Gradio

    g2

  • Some Test

    • ChatGPT的API调用
    • GPT4计费计算
    • LangChain使用方法
    • Faiss使用方法
    • Pytorch框架学习
    • Sentence Transformer
    • 文本相似性计算

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