All sessions
Posttraining & MidtrainingSession
Learning on the job: the future of post-training
Raymond Feng
- When
- Wednesday, July 112:05 PM – 12:25 PM · 20 min
- Where
- Track 9San Francisco, CA · imported from ai.engineer's public schedule feed
Speaker
Raymond Feng
Researcher, Applied Compute
Researcher at Applied Compute. Building the post-training stack, training specialized workhorse models for enterprises, and researching new techniques for model customization. Graduated from MIT.
More in Posttraining & Midtraining
- Building self-learning loops for your agentMonday, June 29 · 11:05 AM – 12:05 PM · Track 1
- Bugcrowd posttraining talkTuesday, June 30 · 12:05 PM – 12:25 PM · Track 9
- What's next after RLHF?Wednesday, July 1 · 10:45 AM – 11:05 AM · Track 9
- State of DataWednesday, July 1 · 11:10 AM – 11:30 AM · Track 9
- Reinforcement Learning without Verifiable RewardsWednesday, July 1 · 1:30 PM – 1:50 PM · Track 9
For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
- iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
- Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
- MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents
No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.