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.

Date Created 2023-04-12 (about a year ago)
Commits 78 (last one 11 months ago)
Stargazers 1,132 (4 this week)
Watchers 18 (0 this week)
Forks 355
License apache-2.0
Ranking

RepositoryStats indexes 589,134 repositories, of these curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain is ranked #45,598 (92nd percentile) for total stargazers, and #122,864 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #938/17,281.

curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain is also tagged with popular topics, for these it's ranked: python (#2,597/22145),  deep-learning (#1,177/8438),  chatgpt (#372/2531),  openai (#275/2202),  artificial-intelligence (#297/2080),  large-language-models (#142/1061),  gpt-4 (#133/735),  langchain (#62/642),  prompt-engineering (#62/284),  gpt4 (#37/256),  llama2 (#41/238)

Other Information

curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 7 open issues and 0 closed issues.

Homepage URL: https://mlexpert.io

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78 commits on the default branch (master) since jan '22

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The only known language in this repository is Jupyter Notebook

updated: 2024-12-01 @ 05:30am, id: 627132009 / R_kgDOJWFGaQ