Default recommendation: start with RAG. Use fine-tuning only when you have a clear reason that retrieval and prompting cannot solve.

The useful part of this structure is that every step is visible. You can inspect search results, print the prompt, change the model, or improve retrieval without touching the LLM call. Before adding…

He also covers how to move from an experimental notebook to cleaner Python code with reusable components. This is a good recording if you want to understand the “plumbing” behind AI applications.…

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