February 10, 2026Machine learning How Amazon uses Amazon Nova models to automate operational readiness testing for new fulfillment centers Amazon is a global ecommerce and technology company that operates a vast […] Read more
February 9, 2026Machine learning Automated Reasoning checks rewriting chatbot reference implementation Today, we are publishing a new open source sample chatbot that shows […] Read more
February 9, 2026Machine learning Accelerate agentic application development with a full-stack starter template for Amazon Bedrock AgentCore Generative AI and agentic applications are reshaping how businesses operate—from customer support […] Read more
February 9, 2026Machine learning New Relic transforms productivity with generative AI on AWS New Relic Inc. is a San Francisco-based technology company that pioneered application […] Read more
February 9, 2026Machine learning Scale LLM fine-tuning with Hugging Face and Amazon SageMaker AI Enterprises are increasingly shifting from relying solely on large, general-purpose language models […] Read more
February 9, 2026Machine learning Agent-to-agent collaboration: Using Amazon Nova 2 Lite and Amazon Nova Act for multi-agent systems My first attempt at building a travel planning agent looked exactly like […] Read more
February 6, 2026Machine learning Structured outputs on Amazon Bedrock: Schema-compliant AI responses Today, we’re announcing structured outputs on Amazon Bedrock—a capability that fundamentally transforms […] Read more
February 6, 2026Machine learning Manage Amazon SageMaker HyperPod clusters using the HyperPod CLI and SDK Training and deploying large AI models requires advanced distributed computing capabilities, but […] Read more
February 6, 2026Machine learning Evaluate generative AI models with an Amazon Nova rubric-based LLM judge on Amazon SageMaker AI (Part 2) In the post Evaluating generative AI models with Amazon Nova LLM-as-a-Judge on […] Read more
February 5, 2026Machine learning A practical guide to Amazon Nova Multimodal Embeddings Embedding models power many modern applications—from semantic search and Retrieval-Augmented Generation (RAG) […] Read more