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Get-Things-Done-with-Prompt-Engineering-and-LangChain

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

TutorialsAIE roadmapTool-specific tutorialsJupyter Notebook
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创建于 2023-04-12 · 更新于 2026-10-10 · 今日第 10948 名
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Get SH*T Done with Prompt Engineering and LangChain

Build real-world AI apps with ChatGPT/GPT-4 and LangChain in Python

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