# Ryota-Kawamura/LangChain-for-LLM-Application-Development

<https://repo.masters-masters.com/repos/Ryota-Kawamura/LangChain-for-LLM-Application-Development>

[Accueil](https://repo.masters-masters.com/) › [Ryota-Kawamura](https://repo.masters-masters.com/owners/Ryota-Kawamura) › [LangChain-for-LLM-Application-Development](https://repo.masters-masters.com/repos/Ryota-Kawamura/LangChain-for-LLM-Application-Development)

Ryota-Kawamura/LangChain-for-LLM-Application-Development, dépôt open source à 212 étoiles sur GitHub. Carte Prototype de RepoMasters.

| Champ | Valeur |
| --- | --- |
| Propriétaire | [Ryota-Kawamura](https://repo.masters-masters.com/owners/Ryota-Kawamura) |
| Étoiles | 212 |
| Forks | 152 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Aucune |
| Création | 2023 |
| Sujets | agents, chains, evaluation, memory, models, parsers, prompts, question-and-answer, langchain, llm |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [Ryota-Kawamura/LangChain-for-LLM-Application-Development](https://github.com/Ryota-Kawamura/LangChain-for-LLM-Application-Development) |

## Fiche du dépôt

In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

## Autres dépôts de Ryota-Kawamura

- [Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization · ★ 890 · Jupyter Notebook · Bêta](https://repo.masters-masters.com/repos/Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization)
- [Ryota-Kawamura/Generative-AI-with-LLMs · ★ 654 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/repos/Ryota-Kawamura/Generative-AI-with-LLMs)
- [Ryota-Kawamura/How-Diffusion-Models-Work · ★ 177 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/repos/Ryota-Kawamura/How-Diffusion-Models-Work)

## D’autres dépôts Jupyter Notebook

- [Jiahao-Ma/puzzles-code · ★ 212 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/repos/Jiahao-Ma/puzzles-code)
- [towardsai/agent-course-notebooks · ★ 212 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/repos/towardsai/agent-course-notebooks)
- [ForeverBlue816/GRACE · ★ 212 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/repos/ForeverBlue816/GRACE)
- [rasbt/datacollect · ★ 212 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/repos/rasbt/datacollect)
- [jorisvandenbossche/pandas-tutorial · ★ 212 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/repos/jorisvandenbossche/pandas-tutorial)
- [whitehorn/Scientific\_graphics\_in\_python · ★ 212 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/repos/whitehorn/Scientific_graphics_in_python)

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