# ray-project/llm-applications

<https://repo.masters-masters.com/repos/ray-project/llm-applications>

[Accueil](https://repo.masters-masters.com/) › [ray-project](https://repo.masters-masters.com/owners/ray-project) › [llm-applications](https://repo.masters-masters.com/repos/ray-project/llm-applications)

ray-project/llm-applications, dépôt open source à 1 864 étoiles sur GitHub. Carte Bêta de RepoMasters. A comprehensive guide to building RAG-based LLM…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [ray-project](https://repo.masters-masters.com/owners/ray-project) |
| Étoiles | 1 864 |
| Forks | 258 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | CC-BY-4.0 |
| Création | 2023 |
| Sujets | llms, machine-learning, ray, anyscale, fine-tuning, llama2, openai, serving |
| Rang | [Bêta (700 à 1 999 ★)](https://repo.masters-masters.com/ranks/box_office) |
| Voir sur GitHub | [ray-project/llm-applications](https://github.com/ray-project/llm-applications) |

## Fiche du dépôt

A comprehensive guide to building RAG-based LLM applications for production.

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 : image publique du projet, pixelisée par RepoMasters.