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Course Overview:

Duration: 2 Hours

"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). ​📚 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"

Instructor:

Greg Loughnane

Co-Founder & CEO at AI Makerspace

Dr. Greg Loughnane is the Co-Founder & CEO of AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. Since 2021, he has built and led industry-leading Machine Learning education programs. Previously, he worked as an AI product manager, a university professor teaching AI, an AI consultant and startup advisor, and an ML researcher. He loves trail running and is based in Dayton, Ohio.

Chris Alexiuk

Co-Founder & CTO | DL at AI Makerspace | NVIDIA

Chris “The Wiz” Alexiuk is the Co-Founder & CTO at AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. During the day, he is also a Developer Advocate at NVIDIA. Previously, he was a Founding Machine Learning Engineer, Data Scientist, and ML curriculum developer and instructor. He’s a YouTube content creator YouTube who’s motto is “Build, build, build!” He loves Dungeons & Dragons and is based in Toronto, Canada.