Knowledge Is Cheap, Show Me the Execution
summary
Demonstrates using large language models (LLMs) and retrieval-augmented generation to turn cheap external knowledge into executable actions, focusing on tools and frameworks that enable LLMs to plan, call APIs, and run code for end-to-end task execution. Covers techniques for grounding model outputs with retrieval, tool use, and orchestration so that generated plans result in concrete, automated execution rather than just text.
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chapters (9)
- 0:00Introduction
- 3:21Three pillars of organization
- 7:12Processes and communication
- 13:21Planning and predictability
- 20:26Vision and preparation
- 23:32Team structure
- 27:02Standardization and accountability
- 30:53Culture and engagement
- 35:28Summary and next steps
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