A Deep Dive into Model Quantization for Large-Scale Deployment
Introduction In ai, two distinct challenges have surfaced: deploying large models in cloud environments, incurring formidable compute costs that impede ...
Tag: largescale
Stanford researchers present CORNN: a machine learning method for real-time analysis of large-scale neural recordings
Technological advances have brought a new era in the ever-changing field of neuroscience research. With this extraordinary power, it has ...
AWS Researchers Introduce Gemini: Pioneering Rapid Failure Recovery in Large-Scale Deep Learning Training
A team of researchers from Rice University and Amazon Web Services has developed a distributed training system called GEMINI, which ...
Researchers in China introduced a new compression paradigm called retrieval-based knowledge transfer (RetriKT): revolutionizing the deployment of large-scale pre-trained language models in real-world applications
Natural Language Processing (NLP) applications have shown remarkable performance using pre-trained language models (PLM), including BERT/RoBERTa. However, due to their ...
This AI article introduces POYO-1: an artificial intelligence framework that deciphers neural activity through large-scale recordings with deep learning
Researchers from Georgia tech, Mila, Université de Montréal and McGill University present a training framework and architecture to model neural ...
Meet LMSYS-Chat-1M: A large-scale dataset containing one million real-world conversations with 25 state-of-the-art LLMs
Large Language Models (LLM) have become an integral part of various ai applications, from virtual assistants to code generation. Users ...
Researchers from China present large-scale real-world multi-view dataset called ‘FreeMan’
Estimating the 3D structure of the human body from real-world scenes is a challenging task with important implications for fields ...
Research at Stanford Introduces PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking
Large-scale annotated datasets have served as a highway for creating precise models in various computer vision tasks. They want to ...
Exploring Large-scale Raster Population Data | by Milan Janosov | Sep, 2023
Image by the author.Visualizing geospatial population data across multiple scales using Python: global, country, and urban-level dataI have often seen ...
The University of Texas will offer a large-scale online master’s degree in AI
The University of Texas at Austin, one of the nation's leading computer science schools, said Thursday it was starting a ...
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