Building frontier AI productswith Fin x Cognition x Harvey x Perplexity

Missed it live? Watch the recording to hear AI experts break down how leading AI products are built, from training specialized models to scaling real-world applications.

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Featured Speakers

Silas Alberti

Founding Team,
Cognition

Niko Grupen

Head of Applied Research,
Harvey

Brett Chen

Tech Lead & Member of Technical Staff,
Perplexity

Fergal Reid

Chief AI Officer,
Fin

Molly Mahar

Principal AI Designer,
Fin

Jordan Neill

SVP Engineering,
Intercom

Explore the models launched at this event

AI Research

Go deeper with the AI team: building the models

Finetuning Retrieval for Fin
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At Intercom, we’ve built Fin, an AI-powered support bot designed to understand users’ issues and answer their questions accurately. To do this, Fin relies on state-of-the-art large language models (LLMs)...
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Using LLMs as a Reranker for RAG: A Practical Guide
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How to use parallel LLM-based reranker in RAG: improve AI agent answers, reduce latency, and see the exact prompt we deployed.
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How We Built a World-Class Reranker for Fin
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Inside Fin AI agent for customer support: Fine-tuning ModernBERT reranker for RAG, outperforming Cohere v3.5, while cutting latency and costs
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