Beyond Guess-and-Check: Towards AI-assisted Prompt Engineering // Alex Cabrera // AI in Production

// Abstract
"I'll tip you $100". "Don't be lazy". Have you caught yourself adding these phrases to your prompts? Prompt engineering is central to developing modern AI systems, but it often devolves into an ad-hoc process that requires tribal knowledge and countless iterations of guess-and-check. We believe prompt engineering can be improved significantly and explore how we can use AI itself to guide prompt writing. Learn how intelligent "prompt editors" and synthetic data generation can supercharge your AI development workflow.

// Bio
Alex Cabrera is a Ph.D. candidate at Carnegie Mellon University. He works on human-centered AI, specifically in applying techniques from HCI and visualization to help people better understand and improve their AI systems. He is supported by an NSF Graduate Research Fellowship and has spent time at Apple AI/ML, Microsoft Research, and Google.

A big thank you to our Premium Sponsors, @Databricks and @baseten for their generous support!

// Sign up for our Newsletter to never miss an event:

// Watch all the conference videos here:

// Read our blog:

// Join an in-person local meetup near you:

// MLOps Swag/Merch:

// Follow us on Twitter:

//Follow us on Linkedin: