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​[[{“value”:” Customers are increasingly using generative AI to enhance efficiency, personalize experiences, and drive innovation across various industries. For instance, generative AI can be used to perform text summarization, facilitate personalized marketing strategies, create business-critical chat-based assistants, and so on. However, as generative AI adoption… Read More »Effective cost optimization strategies for Amazon Bedrock Biswanath Mukherjee AWS Machine Learning Blog

​[[{“value”:” E.ON—headquartered in Essen, Germany—is one of Europe’s largest energy companies, with over 72,000 employees serving more than 50 million customers across 15 countries. As a leading provider of energy networks and customer solutions, E.ON focuses on accelerating the energy transition across Europe. A key… Read More »How E.ON saves £10 million annually with AI diagnostics for smart meters powered by Amazon Textract Sam Charlton AWS Machine Learning Blog

​There’s no doubt that search is one of the most fundamental problems in computing. There’s no doubt that search is one of the most fundamental problems in computing.  Read More  

​[[{“value”:” The widely read and discussed article “AI as Normal Technology” is a reaction against claims of “superintelligence,” as its headline suggests. I’m substantially in agreement with it. AGI and superintelligence can mean whatever you want—the terms are ill-defined and next to useless. AI is… Read More »Normal Technology at Scale Mike Loukides AI & ML – Radar

​The rise of language models, and more specifically large language models (LLMs), has been of such a magnitude that it has permeated every aspect of modern AI applications — from chatbots and search engines to enterprise automation and coding assistants. The rise of language models, and… Read More »How to Optimize Language Model Size for Deployment Iván Palomares Carrascosa MachineLearningMastery.com

​[[{“value”:” Voice AI is transforming how we interact with technology, making conversational interactions more natural and intuitive than ever before. At the same time, AI agents are becoming increasingly sophisticated, capable of understanding complex queries and taking autonomous actions on our behalf. As these trends… Read More »Building intelligent AI voice agents with Pipecat and Amazon Bedrock – Part 1 Adithya Suresh AWS Machine Learning Blog

​[[{“value”:” Multi-channel transcription streaming is a feature of Amazon Transcribe that can be used in many cases with a web browser. Creating this stream source has it challenges, but with the JavaScript Web Audio API, you can connect and combine different audio sources like videos,… Read More »Stream multi-channel audio to Amazon Transcribe using the Web Audio API Jorge Lanzarotti AWS Machine Learning Blog

​[[{“value”:” This is a guest post co-authored by Evan Miller, Noah Kershaw, and Valerie Renda of Kepler Group At Kepler, a global full-service digital marketing agency serving Fortune 500 brands, we understand the delicate balance between creative marketing strategies and data-driven precision. Our company name… Read More »How Kepler democratized AI access and enhanced client services with Amazon Q Business Evan Miller, Noah Kershaw, and Valerie Renda AWS Machine Learning Blog

​[[{“value”:” Home Table of Contents Object Detection and Visual Grounding with Qwen 2.5 Introduction and Types of Spatial Understanding Object Detection Visual Grounding and Counting Understanding Relationships How Spatial Understanding Works in Qwen 2.5 VL Models Prompt Structure Task-Specific Instruction Object or Feature Specification Contextual… Read More »Object Detection and Visual Grounding with Qwen 2.5 Puneet Mangla PyImageSearch