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...
Guardat en:
| Autors principals: | , , , |
|---|---|
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2024-01-01
|
| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/10700744/ |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|