AI & Machine Learning
Omh Model Finetuning
[omh] Fine-tuning a model on your own data -- SFT, DPO, RLVR or a LoRA adapter: decide first whether prompting or retrieval already closes the gap, choose the method from the data you have, and promote a checkpoint only when it beats the untuned baseline on a held-out eval. Use when the user says: model-finetuning, model finetuning, model fine-tuning, fine-tune a model, fine-tune the model, fine tune a model, fine tune the model, fine-tune.
- Publisher / source
- rlaope/oh-my-hermes (found on GitHub top repositories)
- Upstream record
- rlaope/oh-my-hermes
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
88fc17e90d0891a0f345526d1ac5201f35507bb6f7fa13cb950f656b4d4e454b