CompetitionIn personFree

Post-Training, Evals & Self-Improving Agents - AAIF London x Prolific

SEP30
17:30 · Europe / London

About this event

Post-Training, Evals & Self-Improving Agents - AAIF London x Prolific
How do we make agents meaningfully better after the base model has been trained?
Join AAIF Community London, in partnership with Prolific, for a technical evening exploring post-training, agent evaluation, feedback loops, reinforcement learning, agent architecture, and the emerging idea of iterative and recursive self-improvement in agentic systems.
As agents move from demos into real-world workflows, improving them becomes a systems problem as much as a modelling problem. Better models matter, but so do the environments they learn from, the evaluations we use, the feedback we collect, the tools and context we give them, and the loops through which agents can learn from previous behaviour.
We’ll bring together researchers, engineers and practitioners working across these problems for four focused technical talks, followed by a speaker panel and audience Q&A.
The first hour will be dedicated to food, drinks and networking before the technical programme begins.
Capacity is limited, so please only register if you plan to attend.
What We'll Cover
We’ll explore topics including:
Post-training techniques for improving model and agent behaviour
Agent evaluation and what we should actually be measuring
Feedback loops, environments and reinforcement learning
Building and improving production agentic systems
Agent harnesses, tools, context and architecture
Learning from traces and real-world interaction
Iterative and recursive self-improvement - and what those ideas look like in practical agent systems
Where current approaches break down and what comes next
Expect technical talks, practitioner perspectives, an open panel discussion and plenty of time to meet other people working on these problems.

Agenda
17:30 - 18:30 | Doors Open, Food, Drinks & Networking
Check in, grab some food and drinks, and meet engineers, researchers, founders and builders working across AI, agents, evaluation and post-training.
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