Training ML models at scale often requires significant investments. In this session, learn how Amazon SageMaker reduces the time and cost to train and tune large-scale ML models without the need to manage infrastructure. Learn how you can take advantage of high-performance compute infrastructure available without worrying about scale, train your models faster using distributed training libraries, and arrive at the most-accurate predictions using advanced hyperparameter tuning methods. Also hear from the creators of the Jurassic large language model (LLM), AI21 Labs, about the complexities of LLM training and how they were able to overcome them with SageMaker.
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