AI

Evaluating AI agents: Real-world lessons from building agentic systems at Amazon

The generative AI industry has undergone a significant transformation from using large language model (LLM)-driven applications to agentic AI systems, marking a fundamental shift in how AI capabilities are architected and deployed. While early generative AI applications primarily relied on LLMs to directly generate text and respond to prompts, the industry has evolved from those

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Personalization features can make LLMs more agreeable

Many of the latest large language models (LLMs) are designed to remember details from past conversations or store user profiles, enabling these models to personalize responses. But researchers from MIT and Penn State University found that, over long conversations, such personalization features often increase the likelihood an LLM will become overly agreeable or begin mirroring

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Supercharge regulated workloads with Claude Code and Amazon Bedrock

The release of Anthropic Claude Sonnet 4.5 in the AWS GovCloud (US) Region introduces a straightforward on-ramp for AI-assisted development for workloads with regulatory compliance requirements. In this post, we explore how to combine Claude Sonnet 4.5 on Amazon Bedrock in AWS GovCloud (US) with Claude Code, an agentic coding assistant released by Anthropic. This

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