Daniel Nadler, founder of OpenEvidence, discusses the platform's rapid adoption by 40% of US physicians. He explains how OpenEvidence solves the semantic search problem in high-stakes clinical decision-making, its growth strategy of treating doctors as consumers, and how AI will reshape medical education and the role of the physician.
Will Bryk, co-founder and CEO of Exa, discusses the journey and technology behind building a search engine from scratch, specifically designed for AI systems. He explains why traditional search engines fail in an AI-first world and how Exa's full-stack, compute-heavy approach aims to solve the world's "information blocker" problems.
The video explains the distinct but complementary roles of AI governance and security in mitigating AI risks. It contrasts their focuses, from self-inflicted policy violations (governance) to intentional external attacks (security), and proposes a layered framework combining both for comprehensive protection.
Built-in tools like web search, file search, and code interpreter allow developers to extend model capabilities out-of-the-box. This summary covers the concepts, compares them to function calling, and details a demo of building a data exploration dashboard using multiple tools in concert.
A deep dive into building sophisticated voice agents using OpenAI's Realtime API and Agents SDK. The session covers architectural patterns like chained vs. end-to-end models, the use of multi-agent systems with handoffs for specialized tasks, and best practices for production including debugging with traces, implementing guardrails, and creating robust evaluations.
A deep dive into building agentic systems using OpenAI's latest APIs. The session covers the core concept of 'agentic tool calling' (reasoning + tools), outlines a four-part framework (Agent, Infrastructure, Product, Evaluation) for designing long-horizon tasks, and provides a hands-on demonstration of building a non-blocking task processing system with a real-time progress UI.