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Today, we’re announcing the general availability of Claude Sonnet 4.5, Anthropic’s most intelligent model and its best-performing model for complex agents, coding, and computer use, on Vertex AI. Claude Sonnet 4.5 is built to work independently for hours, maintaining clarity while orchestrating tools and coordinating multiple agents to solve complex problems. It’s designed to excel …
Large foundation models are typically trained on data from multiple domains, with the data mixture—the proportion of each domain used—playing a critical role in model performance. The standard approach to selecting this mixture relies on trial and error, which becomes impractical for large-scale pretraining. We propose a systematic method to determine the optimal data mixture …
By Prudhviraj Karumanchi, Samuel Fu, Sriram Rangarajan, Vidhya Arvind, Yun Wang, John Lu Introduction Netflix operates at a massive scale, serving hundreds of millions of users with diverse content and features. Behind the scenes, ensuring data consistency, reliability, and efficient operations across various services presents a continuous challenge. At the heart of many critical functions lies …
Read more “Building a Resilient Data Platform with Write-Ahead Log at Netflix”
This blog was co-authored with Kuldeep Singh, Head of AI Platform at Innovaccer. The integration of agentic AI is ushering in a transformative era in health care, marking a significant departure from traditional AI systems. Agentic AI demonstrates autonomous decision-making capabilities and adaptive learning in complex medical environments, enabling it to monitor patient progress, coordinate …
Read more “Building health care agents using Amazon Bedrock AgentCore”
New era of physical agents will help robots perceive, plan, think, use tools and act to solve complex tasks.
Self-supervised learning (SSL) has made significant advances in speech representation learning. Models like wav2vec 2.0 and HuBERT have achieved state-of-the-art results in tasks such as speech recognition, particularly in monolingual settings. However, multilingual SSL models tend to underperform their monolingual counterparts on each individual language, especially in multilingual scenarios with few languages such as the …
Building for Tomorrow Introduction Palantir’s customers use our software platforms for their most critical challenges — from delivering vaccines to enabling force readiness to building resilient supply chains — and these challenges often require bringing together data with unique sensitivities from a variety of source systems. This is why we have spent the past 20-plus years building tools for security, …
Read more “How Palantir’s Strategic Privacy Investments Enable Future Customer Success”
Today, we are excited to announce support for DoWhile loops in Amazon Bedrock Flows. With this powerful new capability, you can create iterative, condition-based workflows directly within your Amazon Bedrock flows, using Prompt nodes, AWS Lambda functions, Amazon Bedrock Agents, Amazon Bedrock Flows inline code, Amazon Bedrock Knowledge Bases, Amazon Simple Storage Service (Amazon S3), …
Read more “DoWhile loops now supported in Amazon Bedrock Flows”
Innovating with AI requires accelerators such as GPUs that can be hard to come by in times of extreme demand. To address this challenge, we offer Dynamic Workload Scheduler (DWS), a service that optimizes access to compute resources when and where you need them. In July, we announced Calendar mode in DWS to provide short-term …
Read more “GPUs when you need them: Introducing Flex-start VMs”
Protein folding models have achieved groundbreaking results since the introduction of AlphaFold2, typically built via a combination of integrating domain-expertise into its architectural designs and training pipelines. Nonetheless, given the success of generative models across different but related problems, it is natural to question whether these architectural designs are a necessity to build performant models. …
Read more “SimpleFold: Folding Proteins is Simpler than You Think”