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Category: Machine learning

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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April 15, 2026Machine learning

Rede Mater Dei de Saúde: Monitoring AI agents in the revenue cycle with Amazon Bedrock AgentCore

This post is cowritten by Renata Salvador Grande, Gabriel Bueno and Paulo […]

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April 15, 2026Machine learning

Accelerating decode-heavy LLM inference with speculative decoding on AWS Trainium and vLLM

Practical benchmarks showing faster inter-token latency when deploying Qwen3 models with vLLM, […]

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April 15, 2026Machine learning

Create rich, custom tooltips in Amazon Quick Sight

Amazon Quick Sight, the business intelligence (BI) capability of Amazon Quick, is […]

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April 14, 2026Machine learning

How Guidesly built AI-generated trip reports for outdoor guides on AWS

This is guest post by David Lord, Taylor Lord, Shiva Prasad, Anup […]

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