Leveraging Data to Unlock AI's True Potential in Enterprise Projects

Discover how to maximize AI's potential through effective data leveraging in this 30-minute talk by Snorkel AI CEO Alex Ratner. Explore the critical role of data development in enterprise AI projects and learn why fine-tuning large language models (LLMs) is essential for achieving production-grade performance on complex, domain-specific challenges. Gain insights into Snorkel Flow, a tool that empowers data science teams to rapidly develop high-quality datasets by amplifying the impact of subject matter experts. Examine two compelling case studies demonstrating Snorkel Flow's effectiveness: one showcasing the creation of a smaller, more accurate model using Google's PaLM 2 as a baseline, and another highlighting a novel training approach that achieved a top ranking on the AlpacaEval leaderboard. Delve into topics such as foundation models, customization, specialization, accuracy, use cases, data-centric development, and the data comp stack. Access accompanying slides and additional resources to further enhance your understanding of leveraging data for unlocking AI's true potential in enterprise settings.