Repeatability of Fine-Tuning Large Language Models Illustrated Using QLoRA
Large language models (LLMs) have shown progress and promise in diverse applications ranging from the medical field to chat bots. Developing LLMs requires a large corpus of data and significant computation resources to achieve efficient learning. Foundation models (in particular LLMs) serve as the b...
Enregistré dans:
| Auteurs principaux: | , , , |
|---|---|
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
IEEE
2024-01-01
|
| Collection: | IEEE Access |
| Sujets: | |
| Accès en ligne: | https://ieeexplore.ieee.org/document/10700744/ |
| Tags: |
Pas de tags, Soyez le premier à ajouter un tag!
|