Ai+ Training

How do I know if what comes out of my agentic LLM application is correct?

“What does a good output look like?”

“How can I avoid hallucinations and wrong answers?”

Just as in 2024, everyone working to develop production LLM applications is asking these questions, and rightly so!

This year, however, agents are on the rise, as are the number of companies building, shipping, and sharing LLM application prototypes.

In this event, we’ll explore the latest on agent evaluation from the leading LLM application evaluation framework: RAG ASsessment (RAGAS).

Join us live to learn about best practices for evaluating agentic workflows, including Topic Adherence, Tool call Accuracy, and Agent Goal accuracy.

Join us live to dig into the details, from concepts to code!

You’ll learn:

- How to think about assessing your agent applications quantitatively, with leading best-practice metrics

- How agentic workflows are being assessed at the LLM edge

Who should attend the event:

- Aspiring AI Engineers who want to build and evaluate production-grade agent applications

- AI Engineering leaders who want to instrument their agent deployments with leading evaluators.