How RAG Differs From Fine-Tuning Models

Longtime friend of the show Rajiv Shah returns to unpack lessons from a year of building retrieval-augmented generation (RAG) pipelines and reasoning models integrations. We dive into why so many AI pilots stumble, why evaluation and error analysis remain essential data science skills, and why not every enterprise challenge calls for a large language model.

Featuring:

• Rajiv Shah – LinkedIn 
• Daniel Whitenack – Website, GitHub, X

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