​ This blog post is co-written with Marat Adayev and Dmitrii Evstiukhin from Provectus. When machine learning (ML) models are deployed into production and employed to drive business decisions, the challenge often lies in the operation and management of multiple models. Machine Learning Operations (MLOps)… Read More »How Earth.com and Provectus implemented their MLOps Infrastructure with Amazon SageMaker Marat Adayev AWS Machine Learning Blog

​ Leading users and industry-standard benchmarks agree: NVIDIA H100 Tensor Core GPUs deliver the best AI performance, especially on the large language models (LLMs) powering generative AI. H100 GPUs set new records on all eight tests in the latest MLPerf training benchmarks released today, excelling… Read More »NVIDIA H100 GPUs Set Standard for Generative AI in Debut MLPerf Benchmark  Dave Salvator – Archives Page 1 | NVIDIA Blog

​ The Pandas Series.mean() method is used to calculate the mean or average of the values. It returns a float value representing the mean of the series. In this article, I will explain the syntax of Series.mean() function, its parameters, and how to compute the… Read More »Pandas Series.mean() Function Admin Spark By {Examples}

​ While generative AI is a relatively new household term, drug discovery company Insilico Medicine has been using it for years to develop new therapies for debilitating diseases. The company’s early bet on deep learning is bearing fruit — a drug candidate discovered using its… Read More »Quicker Cures: How Insilico Medicine Uses Generative AI to Accelerate Drug Discovery Renee Yao – Archives Page 1 | NVIDIA Blog

​ Does your company plan to release an AI chatbot, similar to OpenAI’s ChatGPT or Google’s Bard? Doing so means giving the general public a freeform text box for interacting with your AI model. That doesn’t sound so bad, right? Here’s the catch: for every… Read More »Risk Management for AI Chatbots Q McCallum AI & ML – Radar

​ Autoregressive models are a class of statistical models based on the intuition that a variable’s current value largely depends on its past values. In other words, the model predicts the future value of a variable by regressing it on its past values. One of… Read More »Stanford Researchers Introduce SequenceMatch: Training LLMs With An Imitation Learning Loss Khushboo Gupta Artificial Intelligence Category – MarkTechPost

​ The fields of Artificial intelligence and Machine leaving are rapidly advancing, thanks to their incredible capabilities and use cases in almost every industry. With the increasing popularity and integration of AI into different fields, there are also problems and limitations associated with it. Root… Read More »Meet PyRCA: An Open-Source Python Machine Learning Library Designed for Root Cause Analysis (RCA) in AIOps Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​Optimal transport (OT) theory focuses, among all maps that can morph a probability measure onto another, on those that are the “thriftiest”, i.e. such that the averaged cost between and its image be as small as possible. Many computational approaches have been proposed to estimate… Read More »Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps Apple Machine Learning Research

​ The research team from Princeton University has introduced Infinigen, a groundbreaking procedural generator for photorealistic 3D scenes, in their recent paper titled “Infinite Photorealistic Worlds using Procedural Generation.” This work addresses the limitations of existing synthetic datasets that offer limited diversity and fail to… Read More »Researchers from Princeton Introduce Infinigen: A Procedural Generator of Photorealistic 3D Scenes of the Natural World Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Machine learning (ML) administrators play a critical role in maintaining the security and integrity of ML workloads. Their primary focus is to ensure that users operate with the utmost security, adhering to the principle of least privilege. However, accommodating the diverse needs of different… Read More »Define customized permissions in minutes with Amazon SageMaker Role Manager via the AWS CDK Akash Bhatia AWS Machine Learning Blog