​[[{“value”:” Training and deploying large AI models requires advanced distributed computing capabilities, but managing these distributed systems shouldn’t be complex for data scientists and machine learning (ML) practitioners. The newly released command line interface (CLI) and software development kit (SDK) for Amazon SageMaker HyperPod simplify… Read More »Train and deploy models on Amazon SageMaker HyperPod using the new HyperPod CLI and SDK Giuseppe Angelo Porcelli Artificial Intelligence

​[[{“value”:” As organizations increasingly adopt foundation models (FMs) for their artificial intelligence and machine learning (AI/ML) workloads, managing large-scale inference operations efficiently becomes crucial. Amazon Bedrock supports two general types of large-scale inference patterns: real-time inference and batch inference for use cases that involve processing… Read More »Build a serverless Amazon Bedrock batch job orchestration workflow using AWS Step Functions Swagat Kulkarni Artificial Intelligence

​[[{“value”:” In this post, we explore how natural language database analytics can revolutionize the way organizations interact with their structured data through the power of large language model (LLM) agents. Natural language interfaces to databases have long been a goal in data management. Agents enhance… Read More »Natural language-based database analytics with Amazon Nova Rahul Ghosh Artificial Intelligence

​[[{“value”:” Retrieval Augmented Generation (RAG) is a powerful approach for building generative AI applications by providing foundation models (FMs) access to additional, relevant data. This approach improves response accuracy and transparency while avoiding the potential cost and complexity of FM training or fine-tuning. Many customers… Read More »Deploy Amazon Bedrock Knowledge Bases using Terraform for RAG-based generative AI applications Andrew Ang Artificial Intelligence

​[[{“value”:” Intelligent document processing (IDP) refers to the automated extraction, classification, and processing of data from various document formats—both structured and unstructured. Within the IDP landscape, key information extraction (KIE) serves as a fundamental component, enabling systems to identify and extract critical data points from… Read More »Document intelligence evolved: Building and evaluating KIE solutions that scale Ayushi Haria Artificial Intelligence

​[[{“value”:” Today, Amazon SageMaker HyperPod is announcing a new one-click, validated cluster creation experience that accelerates setup and prevents common misconfigurations, so you can launch your distributed training and inference clusters complete with Slurm or Amazon Elastic Kubernetes Service (Amazon EKS) orchestration, Amazon Virtual Private… Read More »Announcing the new cluster creation experience for Amazon SageMaker HyperPod Giuseppe Angelo Porcelli Artificial Intelligence

​[[{“value”:” For more than a century, meteorologists have chased storms with chalkboards, equations, and now, supercomputers. But for all the progress, they still stumble over one deceptively simple ingredient: water vapor. Humidity is the invisible fuel for thunderstorms, flash floods, and hurricanes. It’s the difference… Read More »It’s the Humidity: How International Researchers in Poland, Deep Learning and NVIDIA GPUs Could Change the Forecast Brian Caulfield – Archives Page 1 | NVIDIA Blog

​Extreme gradient boosting ( XGBoost ) is one of the most prominent machine learning techniques used not only for experimentation and analysis but also in deployed predictive solutions in industry. Extreme gradient boosting ( XGBoost ) is one of the most prominent machine learning techniques used… Read More »3 Ways to Speed Up and Improve Your XGBoost Models Iván Palomares Carrascosa MachineLearningMastery.com

​[[{“value”:” If you’ve ever tried to build a agentic RAG system that actually works well, you know the pain. You feed it some documents, cross your fingers, and hope it doesn’t hallucinate when someone asks it a simple question. Most of the time, you get… Read More »Meet Elysia: A New Open-Source Python Framework Redefining Agentic RAG Systems with Decision Trees and Smarter Data Handling Asif Razzaq Artificial Intelligence Category – MarkTechPost