
0:00-43:35
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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.
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practicalai.fm
- 0:00Welcome to Practical AI
- 0:48Meet Rajiv
- 2:34Advances in AI
- 4:37RAG
- 11:40Using contexts
- 12:46Reasoning
- 15:28Initial focus
- 23:46What are the pitfalls?
- 27:27Agents
- 34:41Evaluations
- 39:58The future question
- 40:52Where to try this?
- 42:18Outro