Search Results: LLMFineTuning

Hugging Face’s new Skills framework lets Claude Code, Codex, and Gemini CLI orchestrate end‑to‑end fine‑tuning of open‑source language models on the cloud. From dataset validation to GPU selection, job submission, and real‑time monitoring, the workflow turns a natural‑language prompt into a finished, Hub‑hosted model for under a dollar.

RapidFire AI has officially integrated with Hugging Face's TRL library, enabling developers to concurrently test multiple fine-tuning configurations on LLMs with dramatically reduced GPU requirements and significantly faster iteration cycles.