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

Jun 18, 2024
57:21
Snipd AI
Boris Selitser, Co-Founder of Okareo, discusses the power of synthetic data and agent evaluations in LLM development. Topics include safeguarding AI products, online evaluation in agent systems, custom evaluations, and the role of synthetic data in AI development. The conversation also explores agent architectures, challenges faced by startups, and the potential of agent frameworks in the tech industry.
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Podcast summary created with Snipd AI

Quick takeaways

  • Synthetic data enhances model behavior description and robustness in LLM applications.
  • Developers are transitioning to data-driven development skills akin to software engineering cycles.

Deep dives

Importance of Evaluation in AI Agents

When building AI agents, proper evaluation, especially using synthetic data, plays a crucial role in measuring their effectiveness and performance. Understanding the power of choosing the right metrics, continuously iterating on them, and tracking their relevance is highlighted. Evaluation metrics are essential for assessing output quality and system behaviors, emphasizing the need for constant metric updates.

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