Description
This talk was livestreamed on all official ODSC social media - Linkedin, Facebook, Youtube etc.
We discuss how the rise of foundation models has democratized AI development, enabling anyone to build sophisticated applications. Chip explains the unique challenges and opportunities of this new era, including the crucial role of evaluation and the importance of navigating the vast landscape of models, datasets, and techniques. We explore the key steps in the AI application development process, from model selection and adaptation to deployment and optimization. Whether you're a seasoned ML engineer or just starting your AI journey, this interview provides valuable insights into the evolving field of AI engineering.
Don't miss the chance to ask your questions and share your thoughts during the live Q&A.
Instructor's Bio
Chip Huyen
Computer Scientist | Author | Community Committee at MLOps Learners
Chip Huyen advises companies on building AI platforms. Previously, she was with Snorkel AI and NVIDIA, founded an AI infrastructure startup (acquired), and taught Machine Learning Systems Design at Stanford. She’s the author of the book Designing Machine Learning Systems, an Amazon bestseller in AI.
Her new book, AI Engineering, came out recently - https://a.co/d/55g87jt
Webinar
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ON-DEMAND INTERVIEW: "AI Engineering: The 2025 Landscape"
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Ai+ Training
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Webinar recording
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