Favorite Voice agents, live captioning, contact center analytics, and accessibility tools all depend on real-time speech-to-text, where your application streams audio in and receives transcription back simultaneously over a single persistent connection. Traditional request-response inference falls short here because transcription cannot begin until the entire audio recording has been received,
Read More
Shared by AWS Machine Learning May 21, 2026
Favorite If you’re building visual shopping, image or document understanding, or chart analysis, you need a way to verify whether your model’s response is actually grounded in the source image. A text-only evaluator cannot tell you whether a caption faithfully describes an image, whether an extracted invoice total matches the
Read More
Shared by AWS Machine Learning May 21, 2026
Favorite Today, Amazon SageMaker AI introduces OpenAI-compatible API support for real-time inference endpoints. If you use the OpenAI SDK, LangChain, or Strands Agents, you can now invoke models on SageMaker AI by changing only your endpoint URL. You don’t need a custom client, a SigV4 wrapper, or code rewrites. Overview
Read More
Shared by AWS Machine Learning May 21, 2026
Favorite We’re helping build the state’s next-generation workforce and investing in energy programs. View Original Source (blog.google/technology/ai/) Here.
Favorite This year at Google I/O 2026, we announced Gemini Omni, Google Antigravity, Universal Cart and so much more. Here are the highlights. View Original Source (blog.google/technology/ai/) Here.
Favorite See and hear your colleagues in true-to-life size and sound, making hybrid meetings feel more inclusive and connected. View Original Source (blog.google/technology/ai/) Here.
Favorite Programmatic tool calling (PTC) is a paradigm shift in how large language models (LLMs) interact with external tools. In a traditional tool-calling workflow, each tool invocation requires a full round trip back to the model. The model calls a tool, receives the result, reasons about it, calls the next
Read More
Shared by AWS Machine Learning May 20, 2026
Favorite Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. It now supports Apache Iceberg table format, streaming ingestion, scalable batch ingestion, and fine-grained access control through AWS Lake Formation. As organizations scale their machine learning platforms from
Read More
Shared by AWS Machine Learning May 20, 2026
Favorite Agentic IDEs that forget what you told them in previous sessions aren’t very helpful. You work on your large codebase with complex business requirements for days or weeks. However, your IDE only remembers you during your current session and can’t recall your conversational history, preferences derived from the conversations,
Read More
Shared by AWS Machine Learning May 20, 2026
Favorite Design patterns for scalable voice agents matter for organizations that need to deliver fast, natural, and reliable voice experiences. Many teams face challenges like high latency, managing real-time audio, and coordinating multiple agents in complex workflows. In this post, you’ll learn how to use Amazon Nova Sonic, Amazon Bedrock
Read More
Shared by AWS Machine Learning May 20, 2026
Shared by AWS Machine Learning May 21, 2026
