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.
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