PyTorch

The exploration into refining the reasoning of large language models (LLMs) marks a significant stride in artificial intelligence research, spearheaded by a team from FAIR at Meta alongside collaborators from Georgia Institute of Technology and StabilityAI....
Large Language Models (LLMs) have extended their capabilities to different areas, including healthcare, finance, education, entertainment, etc. These models have utilized the power of Natural Language Processing (NLP), Natural Language Generation (NLG), and Computer Vision to...

PyTorch introduces ‘nvFuser’: a Deep Learning Compiler for NVIDIA GPUs that automatically just-in-time compiles fast and flexible kernels to reliably accelerate users’ networks

The PyTorch team recently released a Deep Learning Compiler for NVIDIA GPUs called nvFuser. This compiler automatically creates quick, adaptable kernels, speeding up user...

In a Latest Machine Learning Research, Salesforce AI Team Developed a New Time-Series Forecasting Model Called ETSformer Which Exploits The Principle of Exponential Smoothing...

Time-series forecasting has gained tremendous importance in recent times. The task of making future predictions based on previous data, particularly numerical data gathered in...

Meta AI Releases Implicitron, a Modular Framework for Neural Implicit Representations in PyTorch3D

Exciting new opportunities for augmented reality experiences are being made possible by the quick advancements in neural implicit representation. Without much training data or...

In a Latest Computer Vision Research, Alibaba Researchers Develop ‘EPro-PnP’ for Monocular 3D Object Detection in Driving Scenes

In computer vision, determining the posture of 3D objects from a single RGB image is crucial. This field is frequently separated into several tasks,...

PyTorch Team Releases ‘PlayTorch App’ Which is Able to Run AI-powered Mobile Experience

Play torch, previously known as PyTorch live, helps build AI-powered mobile prototypes quickly. The new release is much simpler and provides a much better...

Amazon AI Releases PyTorch-Based ‘Sockeye 3’: The Latest Version of the Sockeye Toolkit for Neural Machine Translation (NMT)

The performance of machine translation systems, which previously relied on phrase-based systems, has suddenly improved with the advent of neural network-based models. An open-source...

Meet Intel® Neural Compressor: An Open-Source Python Library for Model Compression that Reduces the Model Size and Increases the Speed of Deep Learning Inference...

Intel has recently released Neural Compressor, an open-source Python package for model compression. This library can be applied to deep learning deployment on CPUs...

Colossal-AI, A Unified Deep Learning System for Big Models, Seamlessly Accelerates Large Models at Low Costs with Hugging Face​

According to a Forbes article, large AI models are considered one of six AI trends to watch for in 2022. As large-scale AI models...

PyTorch Introduces GPU-Accelerated Training On Mac

This Article Is Based On The Research Article 'Introducing Accelerated PyTorch Training on Mac'. All Credit For This Research Goes To The Researchers...

Cerebras Expands Support for Pytorch and Tensorflow Machine Learning Frameworks on the Wafer-Scale Engine 2 Processors that Power Its CS-2 System

Please don't forget to join our ML Subreddit Need help in creating ML Research content for your lab/startup? Talk to us Sales@marktechpost.com Deep learning has emerged...

The PyTorch Fully Sharded Data-Parallel (FSDP) API is Now Available

Large-scale model training has been found to improve model quality in recent research. Model size has increased 10,000 times in the previous three years,...

Microsoft’s PyTorch-DirectML Release-2 Now Works with Python Versions 3.6, 3.7, 3.8, and Includes Support for GPU Device Selection to Train Machine Learning Models

Machine learning (ML) is becoming a more critical application for developers since it allows them to train models that can do various prediction-based activities....

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