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Use proprietary foundation models from Amazon SageMaker JumpStart in Amazon SageMaker Studio June Won AWS Machine Learning Blog

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​ Amazon SageMaker JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. With SageMaker JumpStart, you can discover and deploy publicly available and proprietary foundation models to dedicated Amazon SageMaker instances for your generative AI applications. SageMaker JumpStart allows… Read More »Use proprietary foundation models from Amazon SageMaker JumpStart in Amazon SageMaker Studio June Won AWS Machine Learning Blog

Microsoft Research Introduces phi-1: A New Large Language Model Specialized in Python Coding with Significant Smaller Size than Competing Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

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​ Since the discovery of the Transformer design, the art of training massive artificial neural networks has advanced enormously, but the science underlying this accomplishment is still in its infancy. A sense of order eventually emerged amid the overwhelming and perplexing array of results around… Read More »Microsoft Research Introduces phi-1: A New Large Language Model Specialized in Python Coding with Significant Smaller Size than Competing Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

How Earth.com and Provectus implemented their MLOps Infrastructure with Amazon SageMaker Marat Adayev AWS Machine Learning Blog

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​ 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

NVIDIA H100 GPUs Set Standard for Generative AI in Debut MLPerf Benchmark  Dave Salvator – Archives Page 1 | NVIDIA Blog

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​ 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

Quicker Cures: How Insilico Medicine Uses Generative AI to Accelerate Drug Discovery Renee Yao – Archives Page 1 | NVIDIA Blog

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​ 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

Stanford Researchers Introduce SequenceMatch: Training LLMs With An Imitation Learning Loss Khushboo Gupta Artificial Intelligence Category – MarkTechPost

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​ 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

Meet PyRCA: An Open-Source Python Machine Learning Library Designed for Root Cause Analysis (RCA) in AIOps Tanya Malhotra Artificial Intelligence Category – MarkTechPost

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​ 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

Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps Apple Machine Learning Research

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​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