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A guide to Amazon Bedrock Model Distillation (preview) Yanyan Zhang AWS Machine Learning Blog

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​[[{“value”:” When using generative AI, achieving high performance with low latency models that are cost-efficient is often a challenge, because these goals can clash with each other. With the newly launched Amazon Bedrock Model Distillation feature, you can use smaller, faster, and cost-efficient models that… Read More »A guide to Amazon Bedrock Model Distillation (preview) Yanyan Zhang AWS Machine Learning Blog

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio Ameer Hakme AWS Machine Learning Blog

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​[[{“value”:” Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. To address these challenges, we introduce Amazon Bedrock IDE, an integrated environment for developing and customizing generative AI applications. Formerly known… Read More »Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio Ameer Hakme AWS Machine Learning Blog

Scale ML workflows with Amazon SageMaker Studio and Amazon SageMaker HyperPod Arun Kumar Lokanatha AWS Machine Learning Blog

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​[[{“value”:” Scaling machine learning (ML) workflows from initial prototypes to large-scale production deployment can be daunting task, but the integration of Amazon SageMaker Studio and Amazon SageMaker HyperPod offers a streamlined solution to this challenge. As teams progress from proof of concept to production-ready models,… Read More »Scale ML workflows with Amazon SageMaker Studio and Amazon SageMaker HyperPod Arun Kumar Lokanatha AWS Machine Learning Blog

Introducing Amazon Kendra GenAI Index – Enhanced semantic search and retrieval capabilities Krishna Mudda AWS Machine Learning Blog

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​[[{“value”:” Amazon Kendra is an intelligent enterprise search service that helps you search across different content repositories with built-in connectors. AWS customers use Amazon Kendra with large language models (LLMs) to quickly create secure, generative AI–powered conversational experiences on top of your enterprise content. As… Read More »Introducing Amazon Kendra GenAI Index – Enhanced semantic search and retrieval capabilities Krishna Mudda AWS Machine Learning Blog

Multimodal Universe Dataset: A Multimodal 100TB Repository of Astronomical Data Empowering Machine Learning and Astrophysical Research on a Global Scale Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Astronomical research has transformed dramatically, evolving from limited observational capabilities to sophisticated data collection systems that capture cosmic phenomena with unprecedented precision. Modern telescopes now generate massive datasets spanning multiple wavelengths, revealing intricate details of celestial objects. The current astronomical landscape produces an astounding… Read More »Multimodal Universe Dataset: A Multimodal 100TB Repository of Astronomical Data Empowering Machine Learning and Astrophysical Research on a Global Scale Sana Hassan Artificial Intelligence Category – MarkTechPost

Building Generative AI and ML solutions faster with AI apps from AWS partners using Amazon SageMaker Gwen Chen AWS Machine Learning Blog

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​[[{“value”:” Organizations of every size and across every industry are looking to use generative AI to fundamentally transform the business landscape with reimagined customer experiences, increased employee productivity, new levels of creativity, and optimized business processes. A recent study by Telecom Advisory Services, a globally recognized… Read More »Building Generative AI and ML solutions faster with AI apps from AWS partners using Amazon SageMaker Gwen Chen AWS Machine Learning Blog

Meet MegaParse: An Open-Source AI Tool for Parsing Various Types of Documents for LLM Ingestion Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” In the evolving landscape of artificial intelligence, language models are becoming increasingly integral to a variety of applications, from customer service to real-time data analysis. One key challenge, however, remains: preparing documents for ingestion into large language models (LLMs). Many existing LLMs require specific… Read More »Meet MegaParse: An Open-Source AI Tool for Parsing Various Types of Documents for LLM Ingestion Asif Razzaq Artificial Intelligence Category – MarkTechPost