with
Matt Ferrari
(Wayfair)
,
Debasish Das
(Credit Karma)
,
Mikhail Chrestkha
(Google Cloud)
,
Chase Lyall
(Google Cloud)
The emergence of foundation models and generative AI has introduced a new era for building AI systems. Selecting the right model from a range of architectures and sizes, curating data, engineering optimal prompts, tuning models for specific tasks, grounding model outputs in real-world data, optimizing hardware – these are just a few of the novel challenges that large models introduce. Delve into the fundamental tenets of MLOps, the necessary adaptations required for generative AI, and capabilities within Vertex AI to support this new workflow.
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