ai/ml

Beyond RAG: Task-aware knowledge compression for enterprise AI on AWS

If you’re using Retrieval-Augmented Generation (RAG) for complex analytical tasks that span hundreds of documents, such as financial due diligence…

4 days ago

LEAD: Breaking the No-Recovery Bottleneck in Long-Horizon Reasoning

Long-horizon execution in Large Language Models (LLMs) remains unstable even when high-level strategies are provided. Evaluating on controlled algorithmic puzzles,…

7 days ago

Introducing Claude Opus 5 on AWS: Anthropic’s most capable Opus model

Today, we announce the availability of Claude Opus 5 on Amazon Bedrock and Claude Platform on AWS. Claude Opus 5…

7 days ago

Best practices for applying Amazon Bedrock Guardrails to code generation workflows

This post continues our series on best practices with Amazon Bedrock Guardrails. For the previous post, see Build safe generative…

1 week ago

The Blueprint: How Voicify makes AI-enabled ordering a delight for customers

Welcome to The Blueprint, a new feature where we highlight how Google Cloud customers are tackling unique and common challenges…

1 week ago

AI Teammates: how monday.com runs production AI agents on Amazon Bedrock

AI Teammates are agentic AI on Amazon Bedrock, and few engineering organizations run them in production at the scale that…

1 week ago

Environment-free Synthetic Data Generation for API-Calling Agents

Training API-calling large language model (LLM) agents demands massive amounts of high-quality trajectories. However, collecting such data at scale typically…

1 week ago

Exploring self-distilled reasoning for supervised fine-tuning with Amazon Nova

When you fine-tune a model using Supervised Fine-Tuning (SFT), creating high-quality chain-of-thought (CoT) reasoning traces for your training data is…

1 week ago

Why AI apps fail in production (And how Google solved it)

We are living in the golden age of the weekend AI side project. Thanks to agentic engineering and LLMs, the…

1 week ago

RayRoPE: Projective Ray Positional Encoding for Multi-View Attention

We study positional encodings for multi-view transformers that process tokens from a set of posed input images, and seek a…

2 weeks ago