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.
curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain
View on GitHub ↗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.
Get-Things-Done-with-Prompt-Engineering-and-LangChain grew +0.6% in the last 30 days, ranks 202nd of 1,059 in Prompting & Scaffolding, last commit 1,020 days ago.
Star trajectory
124 days tracked+0.6% in 30d, below the Prompting & Scaffolding median of +1.4%.
Last commit 1,020 days ago, staler than the median of 27d.
How it compares in Prompting & Scaffolding
Ranked 202nd of 1,059 by stars.
- Language
- Jupyter Notebook
- License
- Apache License 2.0
- Contributors
- 1
- Forks
- 373
- Watchers
- 17
- Open issues
- 7
- Releases
- 0
- Created
- 2023-04-12
- Stars this week
- +1
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