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 …
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 …
Structured outputs on Amazon Bedrock: Schema-compliant AI responses Read More »
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 …
Manage Amazon SageMaker HyperPod clusters using the HyperPod CLI and SDK Read More »
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 …
This is a guest post co-written with David Meredith and Josh Zacharias from Associa. Associa, North America’s largest community management company, oversees approximately 7.5 million homeowners with 15,000 employees across …
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, …
A practical guide to Amazon Nova Multimodal Embeddings Read More »
Learn how Google’s NAI framework uses AI to make technology more adaptive, inclusive and helpful for everyone.
Google Cloud built an industry-first AI tool to help U.S. Ski and Snowboard athletes.
Learn more about Google’s new ad that will run during football’s Big Game on February 8.
