Get more context and understand translations more deeply with new AI-powered updates in Translate.
New alternatives, “understand” and “ask” buttons in Google Translate help you navigate the complexities of natural language.
Reinforcement fine-tuning for Amazon Nova: Teaching AI through feedback
Foundation models deliver impressive out-of-the-box performance for general tasks, but many organizations need models to consume their business knowledge. Model customization helps you bridge the gap between general-purpose AI and your specific business needs when building applications that require domain-specific expertise, enforcing communication styles, optimizing for specialized tasks like code generation, financial reasoning, or ensuring …
Reinforcement fine-tuning for Amazon Nova: Teaching AI through feedback Read More »
Large model inference container – latest capabilities and performance enhancements
Modern large language model (LLM) deployments face an escalating cost and performance challenge driven by token count growth. Token count, which is directly related to word count, image size, and other input factors, determines both computational requirements and costs. Longer contexts translate to higher expenses per inference request. This challenge has intensified as frontier models …
Large model inference container – latest capabilities and performance enhancements Read More »
Build with Nano Banana 2, our best image generation and editing model
Nano Banana 2 (Gemini 3.1 Flash Image) delivers Pro-level intelligence and fidelity for all image applications.
Nano Banana 2: Combining Pro capabilities with lightning-fast speed
Our latest image generation model offers advanced world knowledge, production-ready specs, subject consistency and more, all at Flash speed.
Efficiently serve dozens of fine-tuned models with vLLM on Amazon SageMaker AI and Amazon Bedrock
Organizations and individuals running multiple custom AI models, especially recent Mixture of Experts (MoE) model families, can face the challenge of paying for idle GPU capacity when the individual models don’t receive enough traffic to saturate a dedicated compute endpoint. To solve this problem, we have partnered with the vLLM community and developed an efficient …
Building intelligent event agents using Amazon Bedrock AgentCore and Amazon Bedrock Knowledge Bases
Large conferences and events generate overwhelming amounts of information—from hundreds of sessions and workshops to speaker profiles, venue maps, and constantly updating schedules. While basic AI assistants can answer simple questions about event logistics, most fail to deliver the personalized guidance and contextual awareness that attendees need to navigate complex, multi-day conferences effectively. More importantly, …
A more intelligent Android on Samsung Galaxy S26
At Samsung Unpacked 2026, we showcased how Samsung Galaxy S26 devices are getting the latest in Android’s AI features.
See the whole picture and find the look with Circle to Search
We’ve updated Circle to Search so you can now explore multiple items in a single image.
Build an intelligent photo search using Amazon Rekognition, Amazon Neptune, and Amazon Bedrock
Managing large photo collections presents significant challenges for organizations and individuals. Traditional approaches rely on manual tagging, basic metadata, and folder-based organization, which can become impractical when dealing with thousands of images containing multiple people and complex relationships. Intelligent photo search systems address these challenges by combining computer vision, graph databases, and natural language processing …