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Search & RetrievalSession
Where RL Will Take Search
Maximilian-David Rumpf, Lotte Seifert
- When
- Tuesday, June 302:50 PM – 3:10 PM · 20 min
- Where
- Track 3San Francisco, CA · imported from ai.engineer's public schedule feed
About this session
Search is having its Bitter Lesson moment. By turning search into an RL problem, we can finally scale search quality with compute! RL is extremely sample efficient when compared to classical search training objectives and we see no ceiling to how far we can scale this new paradigm. We cover the training of SID-1, the first RL-trained search model, and how search will look like post-RL.
Speakers (2)
Lotte Seifert
Founder, SID AI
Founder of SID AI. Training frontier models to retrieve and reason over any data source.
More in Search & Retrieval
- Pinecone 2.0Tuesday, June 30 · 10:45 AM – 11:05 AM · Track 3
- The unreasonable effectiveness of BM25 for agentic searchTuesday, June 30 · 11:10 AM – 11:30 AM · Track 3
- The Search Engine for the Agentic WebTuesday, June 30 · 11:40 AM – 12:00 PM · Track 3
- Rebuilding the web for agentsTuesday, June 30 · 12:05 PM – 12:25 PM · Track 3
- If we want them to do Knowledge Work, we need to design Knowledge AgentsTuesday, June 30 · 1:30 PM – 1:50 PM · Track 3
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