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As you deploy generative AI applications to diverse user groups, you might face a significant challenge that impacts user safety and application reliability: verifying each AI response is appropriate, accurate, and safe for the specific user receiving it. Content suitable for adults might be inappropriate or confusing for children, while explanations designed for beginners might …

Building age-responsive, context-aware AI with Amazon Bedrock Guardrails Read More »

Last year, AWS announced an integration between Amazon SageMaker Unified Studio and Amazon S3 general purpose buckets. This integration makes it straightforward for teams to use unstructured data stored in Amazon Simple Storage Service (Amazon S3) for machine learning (ML) and data analytics use cases. In this post, we show how to integrate S3 general …

Accelerating LLM fine-tuning with unstructured data using SageMaker Unified Studio and S3 Read More »

Building natural conversational experiences requires speech synthesis that keeps pace with real-time interactions. Today, we’re excited to announce the new Bidirectional Streaming API for Amazon Polly, enabling streamlined real-time text-to-speech (TTS) synthesis where you can start sending text and receiving audio simultaneously. This new API is built for conversational AI applications that generate text or …

Introducing Amazon Polly Bidirectional Streaming: Real-time speech synthesis for conversational AI Read More »

In the latest episode of our Dialogues on Technology and Society series, LL COOL J sits down with James Manyika. ​ 

Google Translate’s Live translate with headphones is officially arriving on iOS! And we’re expanding the capability for both iOS and Android users to even more countries… ​ 

Gemini 3.1 Flash Live is now available across Google products. ​ 

We’re expanding Search Live globally, to all languages and locations where AI Mode is available. ​ 

Video content is now everywhere, from security surveillance and media production to social platforms and enterprise communications. However, extracting meaningful insights from large volumes of video remains a major challenge. Organizations need solutions that can understand not only what appears in a video, but also the context, narrative, and underlying meaning of the content. In …

Unlocking video insights at scale with Amazon Bedrock multimodal models Read More »

This post is a collaboration between AWS and Pipecat. Deploying intelligent voice agents that maintain natural, human-like conversations requires streaming to users where they are, across web, mobile, and phone channels, even under heavy traffic and unreliable network conditions. Even small delays can break the conversational flow, causing users to perceive the agent as unresponsive …

Deploy voice agents with Pipecat and Amazon Bedrock AgentCore Runtime – Part 1 Read More »

In December 2025, we announced the availability of Reinforcement fine-tuning (RFT) on Amazon Bedrock starting with support for Nova models. This was followed by extended support for Open weight models such as OpenAI GPT OSS 20B and Qwen 3 32B in February 2026. RFT in Amazon Bedrock automates the end-to-end customization workflow. This allows the …

Reinforcement fine-tuning on Amazon Bedrock with OpenAI-Compatible APIs: a technical walkthrough Read More »