Is Meta Killing FAIR?

Meta shifts focus to advanced AI with its Super Intelligence Lab, raising questions about the future of FAIR and open AI ...
Unite.AI

PyTorch Foundation Integrates Ray, a Distributed Computing Framework, to Build a Unified AI Infrastructure Stack

The open source AI ecosystem took a decisive leap forward today as the PyTorch Foundation announced that Ray, the distributed computing framework originally developed by Anyscale, has officially ...
The Malaysian Reserve

PyTorch Foundation Welcomes Ray to Deliver a Unified Open Source AI Compute Stack

Ray joins leading open source AI projects including PyTorch and vLLM to minimize AI computing complexity and speed production ...
IEEE

Watermarking Datasets for LLM Fine-tuning

Abstract: Large language models (LLMs) are typically pre-trained on massive-scale data and then fine-tuned on specialized datasets for downstream applications. Determining whether a model has been ...
GitHub

ohtlab/headpose-fsanet-pytorch

Note: My results are slightly worse than original author's results. For best results, please refer to official repository 1. Name Version python 3.7.6 numpy 1.18.5 ...
IEEE

LCache: Log-Structured SSD Caching for Training Deep Learning Models

Abstract: Training deep learning models is computationally demanding and data-intensive. Existing approaches utilize local SSDs within training servers to cache datasets, thereby accelerating data ...
marktechpost

A Coding Implementation to Build a Transformer-Based Regression Language Model to Predict Continuous Values from Text

We will build a Regression Language Model (RLM), a model that predicts continuous numerical values directly from text sequences in this coding implementation. Instead of classifying or generating text ...