Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

Favorite Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. However, building and deploying trustworthy AI assistants requires a robust ground

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Shared by AWS Machine Learning March 5, 2025

Time series forecasting with LLM-based foundation models and scalable AIOps on AWS

Favorite Time series forecasting is critical for decision-making across industries. From predicting traffic flow to sales forecasting, accurate predictions enable organizations to make informed decisions, mitigate risks, and allocate resources efficiently. However, traditional machine learning approaches often require extensive data-specific tuning and model customization, resulting in lengthy and resource-heavy development.

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Shared by AWS Machine Learning March 5, 2025

Innovating at speed: BMW’s generative AI solution for cloud incident analysis

Favorite This post was co-authored with Johann Wildgruber, Dr. Jens Kohl, Thilo Bindel, and Luisa-Sophie Gloger from BMW Group. The BMW Group—headquartered in Munich, Germany—is a vehicle manufacturer with more than 154,000 employees, and 30 production and assembly facilities worldwide as well as research and development locations across 17 countries. Today,

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Shared by AWS Machine Learning March 5, 2025

Accelerate AWS Well-Architected reviews with Generative AI

Favorite Building cloud infrastructure based on proven best practices promotes security, reliability and cost efficiency. To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and

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Shared by AWS Machine Learning March 4, 2025

Pixtral-12B-2409 is now available on Amazon Bedrock Marketplace

Favorite Today, we are excited to announce that Pixtral 12B (pixtral-12b-2409), a state-of-the-art 12 billion parameter vision language model (VLM) from Mistral AI that excels in both text-only and multimodal tasks, is available for customers through Amazon Bedrock Marketplace. Amazon Bedrock Marketplace is a new capability in Amazon Bedrock that

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Shared by AWS Machine Learning March 3, 2025

Reduce conversational AI response time through inference at the edge with AWS Local Zones

Favorite Recent advances in generative AI have led to the proliferation of new generation of conversational AI assistants powered by foundation models (FMs). These latency-sensitive applications enable real-time text and voice interactions, responding naturally to human conversations. Their applications span a variety of sectors, including customer service, healthcare, education, personal

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Shared by AWS Machine Learning March 3, 2025

Customize DeepSeek-R1 distilled models using Amazon SageMaker HyperPod recipes – Part 1

Favorite Increasingly, organizations across industries are turning to generative AI foundation models (FMs) to enhance their applications. To achieve optimal performance for specific use cases, customers are adopting and adapting these FMs to their unique domain requirements. This need for customization has become even more pronounced with the emergence of

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Shared by AWS Machine Learning March 3, 2025

Optimizing AI implementation costs with Automat-it

Favorite This post was written by Claudiu Bota, Oleg Yurchenko, and Vladyslav Melnyk of AWS Partner Automat-it. As organizations adopt AI and machine learning (ML), they’re using these technologies to improve processes and enhance products. AI use cases include video analytics, market predictions, fraud detection, and natural language processing, all

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Shared by AWS Machine Learning February 28, 2025