Amazon Web Services launches new tools to improve AI model reliability, including Automated Reasoning checks, Model Distillation, and multi-agent collaboration features
AWS announces caching and intelligent prompt routing features for Bedrock, reducing costs and latency for businesses using large language models.
Amazon Web Services announces major updates to its data center strategy, including liquid cooling for AI servers and simplified electrical and mechanical designs, ahead of its annual re:Invent conference.
AWS announces significant updates to Q Developer, its coding assistant platform, focusing on end-to-end software lifecycle management, code review, and modernizing legacy codebases.
Amazon Web Services announces Nova, a suite of generative AI models for text, image, and video generation, with more models in development.
AWS announces SageMaker Unified Studio, a single platform for data discovery, preparation, and AI model development, along with two new additions to its SageMaker product family.
AWS announces major updates to its AI and ML services, including SageMaker, Amazon Q, and Bedrock, alongside new large language models and a powerful chip for generative AI workloads.
AWS announces general availability of Trainium2 chips for training and deploying large language models, promising 4x faster performance and unveiling plans for next-gen Trainium3 chips.
Amazon Web Services enhances its low-code tool for building generative AI applications with new features, including app search and simultaneous document processing capabilities.
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