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Further, as machine learning adoption has continued to accelerate, customers have yearned for lower-cost GPUs (the chips most commonly used for machine learning). While some areas of the economy have struggled over the past few years, Amazon Business has thrived. Some people have never heard of Amazon Business, but, our business customers love it. For years, Amazon customers had asked us when we'd offer them an online pharmacy as their frustrations mounted with current providers. More recently, a newer form of machine learning, called Generative AI, has burst onto the scene and promises to significantly accelerate machine learning adoption.
Further, as machine learning adoption has continued to accelerate, customers have yearned for lower-cost GPUs (the chips most commonly used for machine learning). While some areas of the economy have struggled over the past few years, Amazon Business has thrived. Some people have never heard of Amazon Business, but, our business customers love it. For years, Amazon customers had asked us when we'd offer them an online pharmacy as their frustrations mounted with current providers. More recently, a newer form of machine learning, called Generative AI, has burst onto the scene and promises to significantly accelerate machine learning adoption.
Feb 21 (Reuters) - Amazon Web Services (AWS), the cloud computing arm of Amazon.com Inc (AMZN.O), on Tuesday said it is collaborating with startup Hugging Face, a software development hub, to make it easier to carry out artificial intelligence work (AI) in Amazon's cloud. While new generative AI services like chat-based search engines from Microsoft Corp (MSFT.O) and Alphabet Inc's Google (GOOGL.O) have captured the public's imagination, tech companies such as AWS are also vying behind the scenes to supply the tools and services that software developers will need to weave similar technology into their own products. On Tuesday, AWS said it will work with Hugging Face, a New York-based company that has become a central place online where AI developers share open-source code and models. "For this product collaboration, we're dedicating significant engineering resources to build our shared products," Delangue told Reuters in interview. Reporting by Stephen Nellis in San Francisco Editing by Mark PotterOur Standards: The Thomson Reuters Trust Principles.
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