AI Workshop for Upgrading and Customising Open Models

Important: Register on the event website is required for admission. (RSVP on meetup is turned off)

Join Together AI and Black Forest Labs for the AI workshop, bringing together practitioners and researchers interested in model customization.

Join Max Ryabinin, VP of Research & Development at Together AI, and Stephen Batifol, Developer Advocate at Black Forest Labs, for an evening of in-depth technical talks covering recent advances in reasoning with language models and fine-tuning diffusion-based image models.

Talk 1 (Max Ryabinin): Escaping the Verifier: Learning to Reason via Demonstrations

• ​Leveraging Inverse RL to train reasoning language models
• ​Jointly optimizing the critic and the policy through an adversarial game
• ​How to stabilize adversarial RL with a relativistic objective
• ​Strong empirical gains on both non-verifiable and verifiable benchmarks

Talk 2 (Stephen Batifol): LoRA for diffusion image models

• ​How LoRA behaves in diffusion models
• ​Choosing effective LoRA hyperparameters for images and how they impact visual quality vs. overfitting
• ​Data strategies for high‑quality image LoRAs and diagnosing common failure modes

​
Agenda:

• ​​18:00–18:15 Welcome reception
• ​​18:15–19:15 Escaping the Verifier: Learning to Reason via Demonstrations
• ​​19:30–20:30 LoRA for diffusion image models
• ​20:30–Close Networking