Explore the evolution of experiment tracking in the era of Large Language Models (LLMs) with Piotr Niedźwiedź, CEO of neptune.ai, in this insightful MLOps podcast episode. Gain valuable insights into Piotr's entrepreneurial journey, the mission of Neptune to empower ML teams, and the critical role of experiment tracking in model development. Discover how prompt engineering is reshaping model building approaches and learn about the importance of prompt validation and testing methods. Delve into discussions on understanding and debugging models, comparing experiments, and versioning models. Uncover Piotr's perspective on adapting to industry changes, maintaining core values, and his predictions for the future of ML experiment tracking.
Experiment Tracking in the Age of LLMs - MLOps Podcast
Overview
Syllabus
[] Introduction to Piotr Niedźwiedź
[] Please like, share, and subscribe to our MLOps channels!
[] Wojciech Zaremba
[] The Olympiad
[] Building own company
[] Talking outside Poland with the same passion
[] Adapting with Neptune
[] Core values focus
[] Product Vision changes with advances
[] Control and confidence
[] Experiment tracking existing use cases
[] Control pane
[] Piotr's prediction
[] WiFi issues around the world
[] Wrap up
Taught by
MLOps.community
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