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

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

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

curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain, dépôt open source à 1 259 étoiles sur GitHub. Carte Bêta de RepoMasters.

| Champ | Valeur |
| --- | --- |
| Propriétaire | [curiousily](https://repo.masters-masters.com/owners/curiousily) |
| Étoiles | 1 259 |
| Forks | 373 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Apache-2.0 |
| Création | 2023 |
| Sujets | chatgpt, gpt-4, gpt4, prompt-engineering, artificial-intelligence, deep-learning, language-models, openai, python, langchain |
| Rang | [Bêta (700 à 1 999 ★)](https://repo.masters-masters.com/ranks/box_office) |
| Voir sur GitHub | [curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain](https://github.com/curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain) |

## Fiche du dépôt

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…

Rang des dépôts qui ont 700 à 1 999 ★ sur GitHub. Probabilité publiée par carte tirée : 6 %. Rareté : Rare.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.