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Pushmeet Kohli, who leads DeepMind’s science and strategic initiatives team, discusses AI and science. ​ 

Today, we are excited to announce a new capability of Amazon SageMaker HyperPod task governance to help you optimize training efficiency and network latency of your AI workloads. SageMaker HyperPod task governance streamlines resource allocation and facilitates efficient compute resource utilization across teams and projects on Amazon Elastic Kubernetes Service (Amazon EKS) clusters. Administrators can …

Schedule topology-aware workloads using Amazon SageMaker HyperPod task governance Read More »

This post is co-written with Stefan Walter from msg. With more than 10,000 experts in 34 countries, msg is both an independent software vendor and a system integrator operating in highly regulated industries, with over 40 years of domain-specific expertise. msg.ProfileMap is a software as a service (SaaS) solution for skill and competency management. It’s …

How msg enhanced HR workforce transformation with Amazon Bedrock and msg.ProfileMap Read More »

38 million farmers in India received accurate AI-powered forecasts of the start of the monsoon season. ​ 

Retrieval Augmented Generation (RAG) is a fundamental approach for building advanced generative AI applications that connect large language models (LLMs) to enterprise knowledge. However, crafting a reliable RAG pipeline is rarely a one-shot process. Teams often need to test dozens of configurations (varying chunking strategies, embedding models, retrieval techniques, and prompt designs) before arriving at …

Automate advanced agentic RAG pipeline with Amazon SageMaker AI Read More »

You can use Amazon Bedrock Custom Model Import to seamlessly integrate your customized models—such as Llama, Mistral, and Qwen—that you have fine-tuned elsewhere into Amazon Bedrock. The experience is completely serverless, minimizing infrastructure management while providing your imported models with the same unified API access as native Amazon Bedrock models. Your custom models benefit from …

Unlock model insights with log probability support for Amazon Bedrock Custom Model Import Read More »

This post is co-written with Gareth Jones from Anthropic. Anthropic’s Claude 4 Sonnet model has launched on Amazon Bedrock, marking a significant advancement in foundation model capabilities. Consequently, the deprecation timeline for Anthropic’s Claude 3.5 Sonnet (v1 and v2) was announced. This evolution creates a dual imperative for production AI applications: the opportunity to harness …

Migrate from Anthropic’s Claude 3.5 Sonnet to Claude 4 Sonnet on Amazon Bedrock Read More »

A new Google DeepMind image editing model, fondly known as Nano Banana, is now in the Gemini app, giving you more creative control to blend and edit photos. Here are 10 … ​ 

In real-world video and image analysis, businesses often face the challenge of detecting objects that weren’t part of a model’s original training set. This becomes especially difficult in dynamic environments where new, unknown, or user-defined objects frequently appear. For example, media publishers might want to track emerging brands or products in user-generated content; advertisers need …

Enhance video understanding with Amazon Bedrock Data Automation and open-set object detection Read More »

This is a guest post co-written with Skello. Skello is a leading human resources (HR) software as a service (SaaS) solution focusing on employee scheduling and workforce management. Catering to diverse sectors such as hospitality, retail, healthcare, construction, and industry, Skello offers features including schedule creation, time tracking, and payroll preparation. With approximately 20,000 customers …

How Skello uses Amazon Bedrock to query data in a multi-tenant environment while keeping logical boundaries Read More »