Advanced fine-tuning techniques for multi-agent orchestration: Patterns from Amazon at scale

Favorite Our work with large enterprise customers and Amazon teams has revealed that high stakes use cases continue to benefit significantly from advanced large language model (LLM) fine-tuning and post-training techniques. In this post, we show you how fine-tuning enabled a 33% reduction in dangerous medication errors (Amazon Pharmacy), engineering

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Shared by AWS Machine Learning January 17, 2026

Scale creative asset discovery with Amazon Nova Multimodal Embeddings unified vector search

Favorite Gaming companies face an unprecedented challenge in managing their advertising creative assets. Modern gaming companies produce thousands of video advertisements for A/B testing campaigns, with some organizations maintaining libraries with more than 100,000 video assets that grow by thousands of assets monthly. These assets are critical for user acquisition

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Shared by AWS Machine Learning January 16, 2026

Build a generative AI-powered business reporting solution with Amazon Bedrock

Favorite Traditional business reporting processes are often time-consuming and inefficient. Associates typically spend about two hours per month preparing their reports, while managers dedicate up to 10 hours per month aggregating, reviewing, and formatting submissions. This manual approach often leads to inconsistencies in both format and quality, requiring multiple cycles

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Shared by AWS Machine Learning January 16, 2026

How the Amazon AMET Payments team accelerates test case generation with Strands Agents

Favorite At Amazon.ae, we serve approximately 10 million customers monthly across five countries in the Middle East and North Africa region—United Arab Emirates (UAE), Saudi Arabia, Egypt, Türkiye, and South Africa. Our AMET (Africa, Middle East, and Türkiye) Payments team manages payment selections, transactions, experiences, and affordability features across these

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Shared by AWS Machine Learning January 16, 2026

How Nano Banana got its name

Favorite We’re peeling back the origin story of Nano Banana, one of Google DeepMind’s most popular models. View Original Source (blog.google/technology/ai/) Here.

Transform AI development with new Amazon SageMaker AI model customization and large-scale training capabilities

Favorite With the advancement in tools and services that make generative AI models accessible, businesses can now access the same foundation models (FMs) as their competitors. True differentiation comes from building AI that is highly customized for your business—something your competitors can’t effortlessly replicate. Although today’s FMs are genuinely intelligent

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Shared by AWS Machine Learning January 15, 2026

How AutoScout24 built a Bot Factory to standardize AI agent development with Amazon Bedrock

Favorite AutoScout24 is Europe’s leading automotive marketplace platform that connects buyers and sellers of new and used cars, motorcycles, and commercial vehicles across several European countries. Their long-term vision is to build a Bot Factory, a centralized framework for creating and deploying artificial intelligence (AI) agents that can perform tasks

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Shared by AWS Machine Learning January 15, 2026