The hosts discuss their experiences at conferences and highlight developments in the AI and machine learning community, including Intel's focus on AI-enabled applications, new processors, advances in data center technology, and local inference.
What is the model lifecycle like for experimenting with and then deploying generative AI models? Although there are some similarities, this lifecycle differs somewhat from previous data science practices in that models are typically not trained from scratch (or even fine-tuned). Chris and Daniel give a high level overview in this effort and discuss model optimization and serving.
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