# adithya-s-k/AI-Engineering.academy

<https://repo.masters-masters.com/repos/adithya-s-k/AI-Engineering.academy>

[Accueil](https://repo.masters-masters.com/) › [adithya-s-k](https://repo.masters-masters.com/owners/adithya-s-k) › [AI-Engineering.academy](https://repo.masters-masters.com/repos/adithya-s-k/AI-Engineering.academy)

adithya-s-k/AI-Engineering.academy, dépôt open source à 2 388 étoiles sur GitHub. Carte RC de RepoMasters. Mastering Applied AI, One Concept at a Time

| Champ | Valeur |
| --- | --- |
| Propriétaire | [adithya-s-k](https://repo.masters-masters.com/owners/adithya-s-k) |
| Étoiles | 2 388 |
| Forks | 288 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | MIT |
| Création | 2023 |
| Sujets | fine-tuning, finetuning, finetuning-llms, inference, large-language-models, llm, python, quantization |
| Rang | [RC (2 000 à 4 999 ★)](https://repo.masters-masters.com/ranks/blockbuster) |
| Voir sur GitHub | [adithya-s-k/AI-Engineering.academy](https://github.com/adithya-s-k/AI-Engineering.academy) |

## Fiche du dépôt

Mastering Applied AI, One Concept at a Time

Rang des dépôts qui ont 2 000 à 4 999 ★ sur GitHub. Probabilité publiée par carte tirée : 3 %. Rareté : Épique.

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Données : GitHub · Illustration : image publique du projet, pixelisée par RepoMasters.