Fine-Tuning Large Language Models ↗

One-hour introduction to when and how to fine-tune LLMs — covers the decision framework (prompt engineering vs. fine-tuning vs. RAG), data preparation, training process, and evaluation. The fastest way to understand whether fine-tuning is right for your use case before committing engineering resources. Pairs with the Fine-Tuning Across Providers learning path for provider-specific implementation details.