Favorite As enterprises rapidly expand their applications, platforms, and infrastructure, it becomes increasingly challenging to keep up with technology trends, best practices, and programming standards. Enterprises typically provide their developers, engineers, and architects with a variety of knowledge resources such as user guides, technical wikis, code repositories, and specialized tools.

Read More
Shared by AWS Machine Learning February 3, 2025

Favorite Digital pathology is essential for the diagnosis and treatment of cancer, playing a critical role in healthcare delivery and pharmaceutical research and development. Pathology traditionally relies heavily on pathologist expertise and experience to conduct meticulous examination of tissue samples to identify abnormalities. However, the increasing complexity and volume of

Read More
Shared by AWS Machine Learning February 1, 2025

Favorite This is a guest blog post co-written with Jordan Knight, Sara Reynolds, George Lee from Travelers. Foundation models (FMs) are used in many ways and perform well on tasks including text generation, text summarization, and question answering. Increasingly, FMs are completing tasks that were previously solved by supervised learning,

Read More
Shared by AWS Machine Learning February 1, 2025

Favorite From pandemic shutdowns to geopolitical tensions, recent years have thrown our global supply chains into unexpected chaos. This turbulent period has taught both governments and organizations a crucial lesson: supply chain excellence depends not just on efficiency but on the ability to navigate disruptions through strategic risk management. By

Read More
Shared by AWS Machine Learning February 1, 2025

Favorite The real-world data collected and derived from patient journeys offers a wealth of insights into patient characteristics and outcomes and the effectiveness and safety of medical innovations. Researchers ask questions about patient populations in the form of structured queries; however, without the right choice of structured query and deep

Read More
Shared by AWS Machine Learning January 31, 2025

Favorite Government and non-profit organizations evaluating grant proposals face a significant challenge: sifting through hundreds of detailed submissions, each with unique merits, to identify the most promising initiatives. This arduous, time-consuming process is typically the first step in the grant management process, which is critical to driving meaningful social impact.

Read More
Shared by AWS Machine Learning January 31, 2025

Favorite Today, we are announcing that DeepSeek AI’s first-generation frontier model, DeepSeek-R1, is available through Amazon SageMaker JumpStart and Amazon Bedrock Marketplace to deploy for inference. You can now use DeepSeek-R1 to build, experiment, and responsibly scale your generative AI ideas on AWS. In this post, we demonstrate how to

Read More
Shared by AWS Machine Learning January 31, 2025

Favorite Generative AI can revolutionize organizations by enabling the creation of innovative applications that offer enhanced customer and employee experiences. Intelligent document processing, translation and summarization, flexible and insightful responses for customer support agents, personalized marketing content, and image and code generation are a few use cases using generative AI

Read More
Shared by AWS Machine Learning January 30, 2025

Favorite Open foundation models (FMs) have become a cornerstone of generative AI innovation, enabling organizations to build and customize AI applications while maintaining control over their costs and deployment strategies. By providing high-quality, openly available models, the AI community fosters rapid iteration, knowledge sharing, and cost-effective solutions that benefit both

Read More
Shared by AWS Machine Learning January 30, 2025

Favorite Evaluating large language models (LLMs) is crucial as LLM-based systems become increasingly powerful and relevant in our society. Rigorous testing allows us to understand an LLM’s capabilities, limitations, and potential biases, and provide actionable feedback to identify and mitigate risk. Furthermore, evaluation processes are important not only for LLMs,

Read More
Shared by AWS Machine Learning January 29, 2025