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GitHub / curiousily / 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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/curiousily%2FGet-Things-Done-with-Prompt-Engineering-and-LangChain

Stars: 1,182
Forks: 369
Open issues: 8

License: apache-2.0
Language: Jupyter Notebook
Size: 15.1 MB
Dependencies parsed at: Pending

Created at: about 2 years ago
Updated at: 6 days ago
Pushed at: over 1 year ago
Last synced at: 5 days ago

Topics: artificial-intelligence, chatgpt, deep-learning, gpt-4, gpt4, langchain, language-models, large-language-models, llama2, openai, prompt-engineering, python

Funding Links https://github.com/sponsors/curiousily

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