Hugging Face launches a practical course on LLM fine-tuning
kalyan_kpl · x · 2026-07-26
Hugging Face is offering a practical LLM fine-tuning course built around the SmolLM2 family of models. The course is aimed at hands-on model adaptation for specific use cases and covers the full workflow from training to deployment.
The outline includes instruction tuning, preference alignment, parameter-efficient fine-tuning, evaluation, vision-language models, synthetic datasets, and inference. The accompanying image shows several modules marked ready, with vision-language models and synthetic datasets still in progress at the time of the post.
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