Closing the continuous learning loop: From agent traces to agent training
The talk covers turning agent errors extracted from traces into concrete improvements through repeatable simulations, model fine-tuning or reinforcement learning, and explains when adjusting prompts or tools is preferable to changing model weights.
Date:Monday, 21 September 2026, 20:00 to 21:00 local time
Location:Online event
Who is it for?Developers, data practitioners and AI enthusiasts in Dubai and the region
Cost:Free
Why attend:Attendees will gain practical understanding of how to turn agent errors into learning opportunities by analyzing traces, building repeatable simulations, and improving models using fine-tuning or reinforcement learning. They will learn methods for evaluating and validating rewards within this loop. They will also discover when it is preferable to adjust prompts or tools rather than modify model weights. In addition, participants will have access to the related GitHub repository, an O’Reilly book and a YouTube channel link for further resources.
Register now: https://www.meetup.com/ai-performance-engineering-dubai/events/316265136/