specialized AI hardware for data centers
training serves as a control point
improve software performance without sacrificing accuracy.
same hardware for training and inference,
Models continue to get larger
simple and flexible, distributed computing frameworks.
excitement surrounding Generative AI and Foundation Models
focus on data tasks
decentralized custom models
create entirely new content,
trained on broad data and then adapted for downstream tasks and applications.
language model (large models that take in text and output text).
tailor them to their specific needs and use cases,
create their own
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