Neural Magic releases GuideLLM: a powerful tool to evaluate and optimize the implementation of large language models (LLM)
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Tag: neural
Neural Magic releases LLM Compressor: a new library to compress LLMs and achieve faster inference with vLLM
Neural Magic has released the LLM Compressora state-of-the-art tool for optimizing large language models that enables much faster inference through ...
On a neural implementation of Brenier polar factorization
In 1991, Brenier proved a theorem that generalizes polar decomposition to square matrices, factored as PSDs. ×<annotation encoding="application/x-tex">\times× unitary - ...
UT Austin researchers present PUTNAMBENCH: a comprehensive AI benchmark for evaluating the capabilities of neural theorem provers with Putnam math problems
Automating mathematical reasoning has been a long-standing goal of artificial intelligence, and formal frameworks such as Lean 4, Isabelle, and ...
Nvidia AI launches BigVGAN v2: a next-generation neural vocoder that transforms audio synthesis
In the rapidly developing field of audio synthesis, Nvidia recently introduced BigVGAN v2. This neural vocoder breaks previous records for ...
Revealing the utilized range of learning subspaces in neural networks
In this work, we study how well the learned weights of a neural network utilize the space available to them. ...
What are neural networks with radial basis functions?
Introduction Radial basis function neural networks (RBFNNs) are a type of neural network that uses radial basis functions for activation. ...
Hyperparameter tuning in neural networks
Hyperparameters determine how well your neural network learns and processes information. Model parameters are learned during training. Unlike these parameters, ...
History of Convolutional Neural Networks for Image Classification (1989-present) | by Avishek Biswas | June, 2024
A visual tour of the greatest innovations in Deep Learning and Computer Vision.Before CNNs, the standard way to train a ...
Kolmogorov-Arnold Convolutional Networks (Convolutional KANs): An Innovative Alternative to Standard Convolutional Neural Networks (CNN)
Computer vision, one of the main areas of artificial intelligence, focuses on allowing machines to interpret and understand visual data. ...
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