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Organizations across many industries are harnessing the power of foundation models (FMs) and large language models (LLMs) to build generative AI applications to deliver new customer experiences, boost employee productivity, and drive innovation. Amazon Bedrock, a fully managed service that offers a choice of high-performing FMs from leading AI companies, provides the easiest way to …

Level up your problem-solving and strategic thinking skills with Amazon Bedrock Read More »

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 relying on models that analyze data …

Optimizing AI implementation costs with Automat-it Read More »

AWS DeepRacer League 2024 Championship finalists at re:Invent 2024 The AWS DeepRacer League is the world’s first global autonomous racing league powered by machine learning (ML). Over the past 6 years, a diverse community of over 560,000 builders from more than 150 countries worldwide have participated in the League to learn ML fundamentals hands-on through …

The end of an era: the final AWS DeepRacer League Championship at re:Invent 2024 Read More »

At Microsoft, we are dedicated to advancing AI innovation to empower organizations, transform industries, and redefine productivity. Today, we are excited to announce major updates to Azure AI Foundry, our integrated platform for designing, customizing, and managing enterprise-grade AI applications. These updates include groundbreaking new models like OpenAI’s GPT-4.5, enhanced fine-tuning and distillation techniques, and …

Announcing new models, customization tools, and enterprise agent upgrades in Azure AI Foundry  Read More »

In our previous blog posts, we explored various techniques such as fine-tuning large language models (LLMs), prompt engineering, and Retrieval Augmented Generation (RAG) using Amazon Bedrock to generate impressions from the findings section in radiology reports using generative AI. Part 1 focused on model fine-tuning. Part 2 introduced RAG, which combines LLMs with external knowledge …

Evaluate healthcare generative AI applications using LLM-as-a-judge on AWS Read More »

Having spent the last years studying the art of AWS DeepRacer in the physical world, the author went to AWS re:Invent 2024. How did it go? In AWS DeepRacer: How to master physical racing?, I wrote in detail about some aspects relevant to racing AWS DeepRacer in the physical world. We looked at the differences …

AWS DeepRacer: Closing time at AWS re:Invent 2024 –How did that physical racing go? Read More »

We are excited to announce Phi-4-multimodal and Phi-4-mini, the newest models in Microsoft’s Phi family of small language models (SLMs). These models are designed to empower developers with advanced AI capabilities. Phi-4-multimodal, with its ability to process speech, vision, and text simultaneously, opens new possibilities for creating innovative and context-aware applications. Phi-4-mini, on the other …

Empowering innovation: The next generation of the Phi family Read More »

High-performance computing (HPC) workloads place significant demands on cloud infrastructure, requiring robust and scalable resources to handle complex and intensive computational tasks. These workloads often necessitate high levels of parallel processing power, typically provided by clusters of central processing unit (CPU) or graphics processing unit (GPU)-based virtual machines. Additionally, HPC applications demand substantial data storage …

Azure NetApp Files: Revolutionizing silicon design for high-performance computing Read More »

Brands today are juggling a million things, and keeping product content up-to-date is at the top of the list. Between decoding the endless requirements of different marketplaces, wrangling inventory across channels, adjusting product listings to catch a customer’s eye, and trying to outpace shifting trends and fierce competition, it’s a lot. And let’s face it—staying …

How Pattern PXM’s Content Brief is driving conversion on ecommerce marketplaces using AI Read More »

In enterprise environments, organizations often divide their AI operations into two specialized teams: an AI research team and a model hosting team. The research team is dedicated to developing and enhancing AI models using model training and fine-tuning techniques. Meanwhile, a separate hosting team is responsible for deploying these models across their own development, staging, …

How to configure cross-account model deployment using Amazon Bedrock Custom Model Import Read More »