Amazon SageMaker HyperPod makes it easier to train and fine-tune LLMs

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At its re:Invent conference today, Amazon’s AWS cloud arm announced the launch of SageMaker HyperPod, a new purpose-built service for training and fine-tuning large language models (LLMs). SageMaker HyperPod is now generally available. Amazon has long bet on SageMaker, its service for building, training and deploying machine learning models, as the backbone of its machine […]

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At its re:Invent conference today, Amazon’s AWS cloud arm announced the launch of SageMaker HyperPod, a new purpose-built service for training and fine-tuning large language models (LLMs). SageMaker HyperPod is now generally available. Amazon has long bet on SageMaker, its service for building, training and deploying machine learning models, as the backbone of its machine
© 2023 TechCrunch. All rights reserved. For personal use only.  

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Amazon SageMaker HyperPod makes it easier to train and fine-tune LLMs

 ​

At its re:Invent conference today, Amazon’s AWS cloud arm announced the launch of SageMaker HyperPod, a new purpose-built service for training and fine-tuning large language models (LLMs). SageMaker HyperPod is now generally available. Amazon has long bet on SageMaker, its service for building, training and deploying machine learning models, as the backbone of its machine […]

© 2023 TechCrunch. All rights reserved. For personal use only.

At its re:Invent conference today, Amazon’s AWS cloud arm announced the launch of SageMaker HyperPod, a new purpose-built service for training and fine-tuning large language models (LLMs). SageMaker HyperPod is now generally available. Amazon has long bet on SageMaker, its service for building, training and deploying machine learning models, as the backbone of its machine
© 2023 TechCrunch. All rights reserved. For personal use only.  

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

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