Powering AI with the World's Largest Computer Chip with Joel Hestness - #684
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Exploring Training and Inference in AI Models
This chapter explores the differences between training and inference for large language models, emphasizing the software stack's performance in inference pipeline execution. It also discusses partnerships with hardware vendors like Qualcomm to enhance the deployment efficiency of trained models across diverse architectures.
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