23min chapter

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Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development // Boris Selitser // #241

MLOps.community

CHAPTER

Exploring the Role of Synthetic Data and Agent Architectures in LLM Development

The chapter dives into the significance of synthetic data for LLMs, focusing on creating desired behaviors, benchmarks, and identifying errors in models. It also delves into agent design patterns, contrasting traditional ML and RAG architectures with emerging agent architectures, emphasizing the importance of modular agents and prompts. The conversation explores challenges faced by startups in working with agents, winding down companies, and the potential of agent frameworks in the tech industry.

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