Try it
Add the skill to a bot, then ask your Chief of Staff:
“Use the Fine-Tuning Guide skill on this: [describe the job, or paste your notes].”
Fine-tuning adapts a pre-trained model to a specific task or domain by training on curated data. This skill covers when to fine-tune vs use prompt engineering, dataset preparation, parameter-efficient methods (LoRA/QLoRA), alignment techniques (RLHF/DPO), and practical training with Hugging Face tooling.
What it covers
- Fine-Tuning vs Prompt Engineering Decision
- Dataset Preparation
- LoRA (Low-Rank Adaptation)
- QLoRA (Quantized LoRA)
- Training with Hugging Face
- RLHF and DPO
- Overfitting Prevention
- Benchmarking Fine-Tuned Models