What you’ll learn:

• Which use cases for code models and agent-based systems need trajectory evaluation, and why

• Which model skills are essential for autonomous behavior and solving long-horizon tasks in code

• How trajectory annotation assists in training and evaluating models

• How to ensure the safety of models and agent-based systems

• When to use synthetic data, when to get experts involved in data annotation, and how hybrid annotation works

• You’ll also find out where researchers are focusing their efforts, and what types of breakthrough products we can expect to be developed next.