Multi-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide
Most fine-tuning teaches a model to produce a better answer to a […]
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How Bayer Crop Science built an agentic decision engine on Amazon Bedrock AgentCore with AWS Unified Operations
Plant breeding decisions depend on data that spans genomics, field trials, imagery, […]
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Visualize points and routes with GeoJSON in Amazon Quick Sight layer maps
With Amazon Quick Sight layer maps, you can now plot points and […]
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Orchestrating SageMaker AI endpoint auto scaling with AWS CDK
Updating the Amazon Sagemaker AI real-time endpoint configuration (changing the instance type, […]
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Stream low-latency speech from AI agents using Kokoro TTS on Amazon SageMaker AI
A customer asks an AI voice agent a question and waits. The […]
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Deploy AI in a HIPAA-eligible environment with Amazon Quick
Healthcare organizations want the same thing from AI that every other business […]
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Write your own training loop — without managing GPUs — with Amazon SageMaker training session APIs
Fine-tuning a large language model (LLM) today usually forces a tradeoff between […]
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Announcing new ways to customize models with SageMaker AI, without managing GPUs
Companies getting real results from AI aren’t only using foundation models (FMs) […]
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How IskayPet unified corporate knowledge with Amazon Bedrock Managed Knowledge Bases
IskayPet’s office teams had a knowledge challenge. Answers to everyday operational questions, […]
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Amazon Polly delivers a major upgrade to its Generative engine
Amazon Polly Generative engine now offers more natural and accurate speech output. […]
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