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Extending public sector intelligence with Agentforce and AWS
Public sector agencies process large volumes of unstructured evidence, such as body camera footage,…
Jev introduces a new shape of LLM - System One, aka Decision Models
Last week TypeSafe AI unveiled Jev, their first example of a new category of model that they are calling…
TinyTorch: Don’t Just Import PyTorch. Build It.
A framework you write yourself, tensors through transformers TL;DR Every mature systems project eventually…
xAI’s Grok 4.6 is now available in Amazon Bedrock
Today, we are announcing that xAI’s Grok 4.6 is available in Amazon Bedrock, adding a frontier model built…
How BMW Group detects cost anomalies across 14,000 cloud accounts
This post is co-written with Philipp Karg from BMW Group and Christopher Masurek from Data Reply. Cost…
Run Positron on Amazon SageMaker AI for data science workflows
Data science teams often move among separate tools for governed data access, R analysis, Python model…
How Benchling secured multi-tenant AI agents with Amazon Bedrock AgentCore
When Benchling needed to run AI agent-generated scientific code across thousands of life sciences tenants,…
Reducing medical claims review time with AI on AWS: The EXL Medical IDP solution
Insurance claims adjusters spend over 100 minutes per case manually reviewing medical records. The EXL…
tokenizers v1: encode, decode and scaling, measured
Back to Articles tokenizers v1: encode, decode and scaling, measured Published September 21, 2026 Update on…
Amazon SageMaker Inference: 2026 year-to-date launches in review
Generative AI inference is uniquely hard: models are tens to hundreds of gigabytes, latency requirements are…
Introducing Kimi K3 on Amazon Bedrock
Open-weight models are changing the economics of building and deploying AI at scale. Rapid gains in…
Migrating multi-model AI agents to Amazon Bedrock AgentCore runtime
Organizations building multi-model agentic AI applications face growing infrastructure complexity. Managing…
The new AgentCore runtime: Elastic, optimized, and consistently fast starts
Agents are no longer experiments. They process claims, write and review code, coordinate across systems, and…
Deploy Hugging Face models on Amazon SageMaker AI with coding agents
Deploying a Hugging Face model to production means making a dozen decisions: choosing the right serving…
Introducing Amazon SageMaker HyperPod Inference Gateway
Eliminate GPU waste. Reduce first-token latency by up to 82%. Install one Kubernetes-native addon with zero…
The Leftist Split Over AI Doom
The 8 best AI sales assistant software in 2026
From acquiring leads to following up with cold accounts to handling customer queries, sales teams have a lot…
PyTorch Day Japan 2026 Comes to Tokyo on December 10
PyTorch Day Japan 2026 will bring the open source AI community together in Tokyo on December 10 for a full…
Reduce time-to-hire for quality candidates with AI-powered Amazon Connect Talent
Hiring at scale in industries such as retail, logistics, hospitality, and others has its fair share of…
Selecting a vector store for Amazon Bedrock Knowledge Bases
When building a Retrieval Augmented Generation (RAG) solution with Amazon Bedrock Knowledge Bases, selecting…
A serverless, data-driven Git metrics dashboard using Amazon Quick Sight
Git activity is one of the richest signals engineering teams produce that can provide continuous…
A shared agentic platform for Wood Mackenzie, on Amazon Bedrock AgentCore
Building a working agentic prototype takes an afternoon. Getting it to production is where the work explodes.…
How MRH Trowe enabled secure self-service AI agents in financial services
Basic AI chat isn’t enough for financial services organizations that need secure, self-service AI agents.…
Implementing defense-in-depth authorization for MCP tools on Amazon Quick
Each Model Context Protocol (MCP) tool invocation on Amazon Quick is an access event that can require…