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Building intelligent AI voice agents with Pipecat and Amazon Bedrock – Part 1
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The Role of Luck in Sports: Can We Measure It?
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Multi-account support for Amazon SageMaker HyperPod task governance
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How I Automated My Machine Learning Workflow with Just 10 Lines of Python
is magical — until you’re stuck trying to decide which model to…
Implement semantic video search using open source large vision models on Amazon SageMaker and Amazon OpenSearch Serverless
As companies and individual users deal with constantly growing amounts…
Prescriptive Modeling Unpacked: A Complete Guide to Intervention With Bayesian Modeling.
In this article, I will demonstrate how to move from…
Build a serverless audio summarization solution with Amazon Bedrock and Whisper
Recordings of business meetings, interviews, and customer interactions have become…
Not Everything Needs Automation: 5 Practical AI Agents That Deliver Enterprise Value
in an enterprise organization, you’ve probably felt the paradox firsthand…
Modernize and migrate on-premises fraud detection machine learning workflows to Amazon SageMaker
This post is co-written with Qing Chen and Mark Sinclair…
Teaching AI models the broad strokes to sketch more like humans do | MIT News
When you’re trying to communicate or understand ideas, words don’t…
The Journey from Jupyter to Programmer: A Quick-Start Guide
, myself included, start their coding journey using a Jupyter…
Impel enhances automotive dealership customer experience with fine-tuned LLMs on Amazon SageMaker
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AI stirs up the recipe for concrete in MIT study | MIT News
For weeks, the whiteboard in the lab was crowded with…
Data Drift Is Not the Actual Problem: Your Monitoring Strategy Is
is an approach to accuracy that devours data, learns patterns,…
Unlocking the power of Model Context Protocol (MCP) on AWS
We’ve witnessed remarkable advances in model capabilities as generative AI…
Gemini 2.5’s native audio capabilities
Safety and responsibility We’ve proactively assessed potential risks throughout every…


















