# curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain

<https://repo.masters-masters.com/en/repos/curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain>

[Home](https://repo.masters-masters.com/en) › [curiousily](https://repo.masters-masters.com/en/owners/curiousily) › [Get-Things-Done-with-Prompt-Engineering-and-LangChain](https://repo.masters-masters.com/en/repos/curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain)

curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain has 1,259 stars on GitHub. Its RepoMasters card: Beta tier. LangChain & Prompt Engineering…

| Field | Value |
| --- | --- |
| Owner | [curiousily](https://repo.masters-masters.com/en/owners/curiousily) |
| Stars | 1,259 |
| Forks | 373 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | chatgpt, gpt-4, gpt4, prompt-engineering, artificial-intelligence, deep-learning, language-models, openai, python, langchain |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain](https://github.com/curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain) |

## Repository

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 ch…

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.