If you’re running Amazon Nova 1 models on Amazon Bedrock, you might be looking to expand your context window size, deepen reasoning capabilities, or integrate external tools for web search …
Migrate from Amazon Nova 1 to Amazon Nova 2 on Amazon Bedrock Read More »
We’re expanding Personal Intelligence across AI Mode in Search, the Gemini app and Gemini in Chrome.
Google is making new investments, building new tools and developing code security to improve open source security.
This post is co-written with Mark Ross from Atos. Organizations pursuing AI transformation can face a familiar challenge: how to upskill their workforce at scale in a way that changes …
AWS AI League: Atos fine-tunes approach to AI education Read More »
AI is moving fast, and for most of our customers, the real opportunity isn’t in experimenting with it—it’s in running AI in production where it drives meaningful business outcomes. This …
AWS and NVIDIA deepen strategic collaboration to accelerate AI from pilot to production Read More »
This is Part II of a two-part series from the AWS Generative AI Innovation Center. If you missed Part I, refer to Operationalizing Agentic AI Part 1: A Stakeholder’s Guide. …
Agentic AI in the Enterprise Part 2: Guidance by Persona Read More »
We thank Greg Pereira and Robert Shaw from the llm-d team for their support in bringing llm-d to AWS. In the agentic and reasoning era, large language models (LLMs) generate …
Introducing Disaggregated Inference on AWS powered by llm-d Read More »
This post is cowritten with Ilija Subanovic and Michael Rice from Workhuman. Workhuman’s customer service and analytics team were drowning in one-time reporting requests from seven million users worldwide—a common …
Building and managing machine learning (ML) features at scale is one of the most critical and complex challenges in modern data science workflows. Organizations often struggle with fragmented feature pipelines, …
EAGLE is the state-of-the-art method for speculative decoding in large language model (LLM) inference, but its autoregressive drafting creates a hidden bottleneck: the more tokens that you speculate, the more …
P-EAGLE: Faster LLM inference with Parallel Speculative Decoding in vLLM Read More »
