Prakash Chockalingham, Product Lead at Google, presents on lessons learned from deploying fine-tuned Gemini models. Includes Gemini adaptation workflows, and Gemini adaptation characteristics and challenges. This talk was originally delivered at Arize:Observe 2024 at Shack 15 in San Francisco on July 11, 2024. Sign up for Paper Readings: https://arize.com/resource/community-papers-reading/ Check out Upcoming Arize AI Events: https://arize.com/events/
Prakash Chockalingham
With over 15 years of industry experience, Prakash is a product leader with a passion for building innovative and scalable solutions in the domains of big data and AI. Currently, Prakash is a Product Lead at Google, where he drives the product strategy and execution for building the next gen ML Ops platform for Googlers. He leverages his expertise in ML, cloud computing, and developer tools to enable faster and more reliable development, deployment, and monitoring of machine learning models.