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Join AWS & Sahara AI for an in-depth technical discussion on building domain-specific LLMs with high-quality data.
As models scale, it's clear: bigger isn't always better. The true challenge lies in sourcing, curating, & validating the bespoke datasets that actually improve accuracy, safety, & performance for domain LLMs.
Our technical experts will share practical insights on:
Candid lessons learned from building domain-specific LLMs
Real-world case studies from industry & academia
Forward-looking strategies to overcome the data bottleneck in fine-tuning
Best practices for balancing data quality, cost, & scalability in production pipelines
Designed for technical leaders & senior engineers, this session will focus on actionable strategies & implementation approaches rather than theoretical frameworks.
Agenda
5:00-5:30 l Networking Break
5:30-5:40 l Intro by AWS & Sahara AI
5:40-6:15 l Demos & Case Studies with James Constantine
6:15 -7:15 l Panel - Building Domain LLMs: Data Struggles & Success Stories with Q+A
Hosted by Jean Malha
7:15 -8:00 l Cocktail Reception
**ID required for entry into the building**
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