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Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. Browse the latest and most valuable Machine Learning(AI) articles handpicked from across the web. Learn from top blogs and industry experts. Share your resource

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Power video semantic search with Amazon Nova Multimodal Embeddings

In this post, we show you how to build a video semantic search solution on Amazon Bedrock using Nova Multimodal Embeddings that intelligently understands user intent and retrieves accurate video results across all signal types simultaneously. We also

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

This hands-on guide walks through every step of fine-tuning an Amazon Nova model with the Amazon Nova Forge SDK, from data preparation to training with data mixing to evaluation, giving you a repeatable playbook you can adapt to your own use case. Th

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Introducing granular cost attribution for Amazon Bedrock

In this post, we share how Amazon Bedrock's granular cost attribution works and walk through example cost tracking scenarios.

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

In this post, we show you how to use Model Distillation, a model customization technique on Amazon Bedrock, to transfer routing intelligence from a large teacher model (Amazon Nova Premier) into a much smaller student model (Amazon Nova Micro). This

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

In this post, we demonstrate two approaches to fine-tune Amazon Nova Micro for custom SQL dialect generation to deliver both cost efficiency and production ready performance.

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

In this post, you will learn how speculative decoding works and why it helps reduce cost per generated token on AWS Trainium2.

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Create rich, custom tooltips in Amazon Quick Sight

Today, we're announcing sheet tooltips in Amazon Quick Sight. Dashboard authors can now design custom tooltip layouts using free-form layout sheets. These layouts combine charts, key performance indicator (KPI) metrics, text, and other visuals into a

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Best practices to run inference on Amazon SageMaker HyperPod

This post explores how Amazon SageMaker HyperPod provides a comprehensive solution for inference workloads. We walk you through the platform’s key capabilities for dynamic scaling, simplified deployment, and intelligent resource management. By the en

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Use-case based deployments on SageMaker JumpStart

We're excited to announce the launch of Amazon SageMaker JumpStart optimized deployments. SageMaker JumpStart improved deployments address the need for rich and straightforward deployment customization on SageMaker JumpStart by offering pre-defined d

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Introducing stateful MCP client capabilities on Amazon Bedrock AgentCore Runtime

In this post, you will learn how to build stateful MCP servers that request user input during execution, invoke LLM sampling for dynamic content generation, and stream progress updates for long-running tasks. You will see code examples for each capab

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Reinforcement fine-tuning on Amazon Bedrock: Best practices

In this post, we explore where RFT is most effective, using the GSM8K mathematical reasoning dataset as a concrete example. We then walk through best practices for dataset preparation and reward function design, show how to monitor training progress

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Building intelligent audio search with Amazon Nova Embeddings: A deep dive into semantic audio unde

This post walks you through understanding audio embeddings, implementing Amazon Nova Multimodal Embeddings, and building a practical search system for your audio content. You'll learn how embeddings represent audio as vectors, explore the technical c

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Customize Amazon Nova models with Amazon Bedrock fine-tuning

In this post, we'll walk you through a complete implementation of model fine-tuning in Amazon Bedrock using Amazon Nova models, demonstrating each step through an intent classifier example that achieves superior performance on a domain specific task.

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Text-to-SQL solution powered by Amazon Bedrock

In this post, we show you how to build a natural text-to-SQL solution using Amazon Bedrock that transforms business questions into database queries and returns actionable answers.

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Scaling seismic foundation models on AWS: Distributed training with Amazon SageMaker HyperPod and e

This post describes how TGS achieved near-linear scaling for distributed training and expanded context windows for their Vision Transformer-based SFM using Amazon SageMaker HyperPod. This joint solution cut training time from 6 months to just 5 days

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