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Favorite My first attempt at building a travel planning agent looked exactly like most early prototypes: one big model, a few tools, and a long system prompt. It worked fine until the moment real-world complexity showed up. Flights came from a clean API, hotels lived behind a shifting web UI,
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Shared by AWS Machine Learning February 10, 2026
Favorite Generative AI and agentic applications are reshaping how businesses operate—from customer support bots to research assistants—and teams need to move from prototype to production quickly. Last year, AWS released Amazon Bedrock AgentCore—a development platform for building, deploying, and scaling AI agents in production. AgentCore provides core building blocks like
Read More Shared by AWS Machine Learning February 10, 2026
Favorite New Relic Inc. is a San Francisco-based technology company that pioneered application performance monitoring (APM) and provides comprehensive observability solutions. Serving leading customers worldwide, including major brands like Ryanair, New Relic helps organizations monitor and optimize their digital systems to deliver better customer experiences. New Relic faced a challenge
Read More Shared by AWS Machine Learning February 10, 2026
Favorite Enterprises are increasingly shifting from relying solely on large, general-purpose language models to developing specialized large language models (LLMs) fine-tuned on their own proprietary data. Although foundation models (FMs) offer impressive general capabilities, they often fall short when applied to the complexities of enterprise environments—where accuracy, security, compliance, and
Read More Shared by AWS Machine Learning February 10, 2026
Favorite Today, we are publishing a new open source sample chatbot that shows how to use feedback from Automated Reasoning checks to iterate on the generated content, ask clarifying questions, and prove the correctness of an answer. The chatbot implementation also produces an audit log that includes mathematically verifiable explanations
Read More Shared by AWS Machine Learning February 10, 2026
Favorite How Google and YouTube are helping kids and teens learn and grow online on Safer Internet Day. View Original Source (blog.google/technology/ai/) Here.
Favorite In the post Evaluating generative AI models with Amazon Nova LLM-as-a-Judge on Amazon SageMaker AI, we introduced the Amazon Nova LLM-as-a-judge capability, which is a specialized evaluation model available through Amazon SageMaker AI that you can use to systematically measure the relative performance of generative AI systems. SageMaker AI
Read More Shared by AWS Machine Learning February 7, 2026
Favorite Training and deploying large AI models requires advanced distributed computing capabilities, but managing these distributed systems shouldn’t be complex for data scientists and machine learning (ML) practitioners. The command line interface (CLI) and software development kit (SDK) for Amazon SageMaker HyperPod with Amazon Elastic Kubernetes Service (Amazon EKS) orchestration simplify
Read More Shared by AWS Machine Learning February 7, 2026
Favorite Today, we’re announcing structured outputs on Amazon Bedrock—a capability that fundamentally transforms how you can obtain validated JSON responses from foundation models through constrained decoding for schema compliance. This represents a paradigm shift in AI application development. Instead of validating JSON responses and writing fallback logic for when they
Read More Shared by AWS Machine Learning February 7, 2026
Favorite Embedding models power many modern applications—from semantic search and Retrieval-Augmented Generation (RAG) to recommendation systems and content understanding. However, selecting an embedding model requires careful consideration—after you’ve ingested your data, migrating to a different model means re-embedding your entire corpus, rebuilding vector indexes, and validating search quality from scratch.
Read More Shared by AWS Machine Learning February 6, 2026