Computation Augmented Generation & MCP

This talk covers computation augmented generation (CAG) and its role in AI products. Rick Hennigan differentiates CAG from retrieval augmented generation, focusing on how it automatically retrieves relevant information for large language models (LLMs). The introduction of Agent One, an LLM API, simplifies integration. The MCP standard is discussed for connecting applications to services. The session emphasizes understanding LLM capabilities, especially in coding, and concludes with a Q&A on CAG and MCP.