Favorite Today, we are excited to announce that Mercury and Mercury Coder foundation models (FMs) from Inception Labs are available through Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, you can deploy the Mercury FMs to build, experiment, and responsibly scale your generative AI applications on AWS. In
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Shared by AWS Machine Learning August 28, 2025
Favorite Google is investing an additional $9 billion in Virginia through 2026 in cloud and AI infrastructure. As we expand our local presence, including a new data center in Che… View Original Source (blog.google/technology/ai/) Here.
Favorite Healthcare discovery on ecommerce domains presents unique challenges that traditional product search wasn’t designed to handle. Unlike searching for books or electronics, healthcare queries involve complex relationships between symptoms, conditions, treatments, and services, requiring sophisticated understanding of medical terminology and customer intent. This challenge became particularly relevant for Amazon
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Shared by AWS Machine Learning August 27, 2025
Favorite Here are some tips for writing more effective prompts for image generation and editing in Gemini. View Original Source (blog.google/technology/ai/) Here.
Favorite Google Translate is using AI to make live translation and language learning even more helpful. View Original Source (blog.google/technology/ai/) Here.
Favorite Learn more about updates to NotebookLM’s Audio and Video Overview tools. View Original Source (blog.google/technology/ai/) Here.
Favorite Amazon SageMaker HyperPod is a purpose-built infrastructure for optimizing foundation model (FM) training and inference at scale. SageMaker HyperPod removes the undifferentiated heavy lifting involved in building and optimizing machine learning (ML) infrastructure for training FMs, reducing training time by up to 40%. SageMaker HyperPod offers persistent clusters with
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Shared by AWS Machine Learning August 23, 2025
Favorite Every day, organizations process millions of documents, including invoices, contracts, insurance claims, medical records, and financial statements. Despite the critical role these documents play, an estimated 80–90% of the data they contain is unstructured and largely untapped, hiding valuable insights that could transform business outcomes. Despite advances in technology,
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Shared by AWS Machine Learning August 23, 2025
Favorite Most organizations evaluating foundation models limit their analysis to three primary dimensions: accuracy, latency, and cost. While these metrics provide a useful starting point, they represent an oversimplification of the complex interplay of factors that determine real-world model performance. Foundation models have revolutionized how enterprises develop generative AI applications,
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Shared by AWS Machine Learning August 23, 2025
Favorite As data becomes more abundant and information systems grow in complexity, stakeholders need solutions that reveal quality insights. Applying emerging technologies to the geospatial domain offers a unique opportunity to create transformative user experiences and intuitive workstreams for users and organizations to deliver on their missions and responsibilities. In
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Shared by AWS Machine Learning August 23, 2025
Shared by AWS Machine Learning August 28, 2025
