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Category: Machine learning

April 20, 2026Machine learning

ToolSimulator: scalable tool testing for AI agents

You can use ToolSimulator, an LLM-powered tool simulation framework within Strands Evals, to […]

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April 20, 2026Machine learning

Omnichannel ordering with Amazon Bedrock AgentCore and Amazon Nova 2 Sonic

Introduction Building a voice-enabled ordering system that works across mobile apps, websites, […]

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April 17, 2026Machine learning

Introducing granular cost attribution for Amazon Bedrock

As AI inference grows into a significant share of cloud spend, understanding […]

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April 17, 2026Machine learning

Power video semantic search with Amazon Nova Multimodal Embeddings

Video semantic search is unlocking new value across industries. The demand for […]

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April 17, 2026Machine learning

Optimize video semantic search intent with Amazon Nova Model Distillation on Amazon Bedrock

Optimizing models for video semantic search requires balancing accuracy, cost, and latency. […]

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April 17, 2026Machine learning

Nova Forge SDK series part 2: Practical guide to fine-tune Nova models using data mixing capabilities

This hands-on guide walks through every step of fine-tuning an Amazon Nova […]

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April 17, 2026Machine learning

From hours to minutes: How Agentic AI gave marketers time back for what matters

Your marketing team loses hours to page assembly, coordination emails, and review […]

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April 16, 2026Machine learning

How Automated Reasoning checks in Amazon Bedrock transform generative AI compliance

Compliance teams in regulated industries spend weeks on manual reviews, pay for […]

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April 16, 2026Machine learning

Transform retail with AWS generative AI services

Online retailers face a persistent challenge: shoppers struggle to determine the fit […]

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April 16, 2026Machine learning

Cost-efficient custom text-to-SQL using Amazon Nova Micro and Amazon Bedrock on-demand inference

Text-to-SQL generation remains a persistent challenge in enterprise AI applications, particularly when […]

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