Favorite Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models at scale. SageMaker makes it easy to deploy models into production directly through API calls to the service. Models are packaged into containers for
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Shared by AWS Machine Learning December 1, 2023
Favorite We believe generative AI has the potential over time to transform virtually every customer experience we know. The number of companies launching generative AI applications on AWS is substantial and building quickly, including adidas, Booking.com, Bridgewater Associates, Clariant, Cox Automotive, GoDaddy, and LexisNexis Legal & Professional, to name just
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Shared by AWS Machine Learning December 1, 2023
Favorite A team of Googlers focused on responsible innovation visited the Fort Peck Tribes in Montana to engage in relationship-building and bidirectional learning. View Original Source (blog.google/technology/ai/) Here.
Favorite Since launching in June 2023, the AWS Generative AI Innovation Center team of strategists, data scientists, machine learning (ML) engineers, and solutions architects have worked with hundreds of customers worldwide, and helped them ideate, prioritize, and build bespoke solutions that harness the power of generative AI. Customers worked closely
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Shared by AWS Machine Learning November 30, 2023
Favorite The rapid growth of generative AI brings promising new innovation, and at the same time raises new challenges. These challenges include some that were common before generative AI, such as bias and explainability, and new ones unique to foundation models (FMs), including hallucination and toxicity. At AWS, we are
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Shared by AWS Machine Learning November 30, 2023
Favorite Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. Amazon SageMaker notebook jobs allow data scientists to run their notebooks on demand or on a schedule with a few clicks in SageMaker Studio. With this launch, you
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Shared by AWS Machine Learning November 30, 2023
Favorite In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems. However, the increasing cost associated with training and fine-tuning these models poses a challenge for enterprises. This
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Shared by AWS Machine Learning November 30, 2023
Favorite In the last few years Large Language Models (LLMs) have risen to prominence as outstanding tools capable of understanding, generating and manipulating text with unprecedented proficiency. Their potential applications span from conversational agents to content generation and information retrieval, holding the promise of revolutionizing all industries. However, harnessing this
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Shared by AWS Machine Learning November 30, 2023
Favorite Data preparation is a crucial step in any machine learning (ML) workflow, yet it often involves tedious and time-consuming tasks. Amazon SageMaker Canvas now supports comprehensive data preparation capabilities powered by Amazon SageMaker Data Wrangler. With this integration, SageMaker Canvas provides customers with an end-to-end no-code workspace to prepare
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Shared by AWS Machine Learning November 30, 2023
Favorite Mira Lane explores how AI is empowering creativity with pioneering artist Refik Anadol. View Original Source (blog.google/technology/ai/) Here.
Shared by AWS Machine Learning December 1, 2023
