Understanding and predicting urban heat islands at Gramener using Amazon SageMaker geospatial capabilities

By Admin 05/04/2024

AWS Machine Learning Blog This is a guest post co-authored by Shravan Kumar and Avirat S from Gramener. Gramener, a Straive company, contributes to sustainable development by focusing on agriculture, forestry, water management, and renewable energy. By providing authorities with the tools and insights they need to make informed decisions about environmental and social impact, […]Continue reading

Nielsen Sports sees 75% cost reduction in video analysis with Amazon SageMaker multi-model endpoints

By Admin 04/04/2024

AWS Machine Learning Blog This is a guest post co-written with Tamir Rubinsky and Aviad Aranias from Nielsen Sports. Nielsen Sports shapes the world’s media and content as a global leader in audience insights, data, and analytics. Through our understanding of people and their behaviors across all channels and platforms, we empower our clients with […]Continue reading

Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

By Admin 03/04/2024

AWS Machine Learning Blog The rise of contextual and semantic search has made ecommerce and retail businesses search straightforward for its consumers. Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. This enhances the overall user experience, helping […]Continue reading

AWS and Mistral AI commit to democratizing generative AI with a strengthened collaboration

By Admin 03/04/2024

AWS Machine Learning Blog The generative artificial intelligence (AI) revolution is in full swing, and customers of all sizes and across industries are taking advantage of this transformative technology to reshape their businesses. From reimagining workflows to make them more intuitive and easier to enhancing decision-making processes through rapid information synthesis, generative AI promises to […]Continue reading

Generative AI roadshow in North America with AWS and Hugging Face

By Admin 03/04/2024

AWS Machine Learning Blog In 2023, AWS announced an expanded collaboration with Hugging Face to accelerate our customers’ generative artificial intelligence (AI) journey. Hugging Face, founded in 2016, is the premier AI platform with over 500,000 open source models and more than 100,000 datasets. Over the past year, we have partnered to make it effortless […]Continue reading

Gradient makes LLM benchmarking cost-effective and effortless with AWS Inferentia

By Admin 02/04/2024

AWS Machine Learning Blog This is a guest post co-written with Michael Feil at Gradient. Evaluating the performance of large language models (LLMs) is an important step of the pre-training and fine-tuning process before deployment. The faster and more frequent you’re able to validate performance, the higher the chances you’ll be able to improve the […]Continue reading

Enable single sign-on access of Amazon SageMaker Canvas using AWS IAM Identity Center: Part 2

By Admin 02/04/2024

AWS Machine Learning Blog Amazon SageMaker Canvas allows you to use machine learning (ML) to generate predictions without having to write any code. It does so by covering the end-to-end ML workflow: whether you’re looking for powerful data preparation and AutoML, managed endpoint deployment, simplified MLOps capabilities, or the ability to configure foundation models for […]Continue reading

Solar models from Upstage are now available in Amazon SageMaker JumpStart

By Admin 02/04/2024

AWS Machine Learning Blog This blog post is co-written with Hwalsuk Lee at Upstage. Today, we’re excited to announce that the Solar foundation model developed by Upstage is now available for customers using Amazon SageMaker JumpStart. Solar is a large language model (LLM) 100% pre-trained with Amazon SageMaker that outperforms and uses its compact size […]Continue reading

Scale LLMs with PyTorch 2.0 FSDP on Amazon EKS – Part 2

By Admin 02/04/2024

AWS Machine Learning Blog This is a guest post co-written with Meta’s PyTorch team and is a continuation of Part 1 of this series, where we demonstrate the performance and ease of running PyTorch 2.0 on AWS. Machine learning (ML) research has proven that large language models (LLMs) trained with significantly large datasets result in […]Continue reading

Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center

By Admin 29/03/2024

AWS Machine Learning Blog Amazon Lex provides advanced conversational artificial intelligence (AI) capabilities to enable self-service support for your organization’s contact center. With Amazon Lex, you can implement an omnichannel strategy where customers engage via phone, websites, and messaging platforms. The bots can answer FAQs, provide self-service experiences, or triage customer requests before transferring to a […]Continue reading