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Building agentic applications is one thing — ensuring they’re actually performant is another. How do you measure and monitor agentic AI performance beyond just speed? The newly released Chapter 4 of our tech guide with O'Reilly explores: 🔹 Quality vs. Speed: Why fast responses don’t always mean effective outcomes. 🔹 Intrinsic and Extrinsic Evaluation: Measuring how well a model performs on its own and how well it completes specific tasks. 🔹 Monitoring at Scale: How an LLM Mesh simplifies performance tracking across agent workflows. Whether you're launching your first agent or scaling across teams, knowing how to measure performance is critical to building reliable, cost-effective systems. 📖 Get early access to Chapter 4 and start optimizing your agentic applications today: | https://bit.ly/3Y6nxD8 | #AgenticAI #AI #LLMMesh

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Moka Bhikshalu

Leadership: Product Data Strategy, Big Data Engineering& Analytics, AI / ML, Deep Learning, NLP, GenAI, LLM, Data Science, Architecture, Platform Engineering, Product Development, Governance, DevOps.GPT Ex-Founder

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