Follow the ideas that keep turning up in Hacker News discussions.
Scott Ruoti, Jeff Andersen, Daniel Zappala +1
This paper presents the results of a laboratory study involving Mailvelope, a modern PGP client that integrates tightly with existing webmail providers.
Elias Frantar, Saleh Ashkboos, Torsten Hoefler +1
Generative Pre-trained Transformer models, known as GPT or OPT, set themselves apart through breakthrough performance across complex language modelling tasks, but also by their extremely high computational and storage costs.
Samuel Marks, Max Tegmark
Large Language Models (LLMs) have impressive capabilities, but are prone to outputting falsehoods.
Matthew D Zeiler, Rob Fergus
Large Convolutional Network models have recently demonstrated impressive classification performance on the ImageNet benchmark.
Hao Li, Zheng Xu, Gavin Taylor +2
Neural network training relies on our ability to find "good" minimizers of highly non-convex loss functions.
Kelvin Xu, Jimmy Ba, Ryan Kiros +5
Inspired by recent work in machine translation and object detection, we introduce an attention based model that automatically learns to describe the content of images.
Martin Kleppmann, Paul Frazee, Jake Gold +6
Bluesky is a new social network built upon the AT Protocol, a decentralized foundation for public social media.
Guoming Zhang, Chen Yan, Xiaoyu Ji +3
Speech recognition (SR) systems such as Siri or Google Now have become an increasingly popular human-computer interaction method, and have turned various systems into voice controllable systems(VCS).
Michael Innes
This paper presents reverse-mode algorithmic differentiation (AD) based on source code transformation, in particular of the Static Single Assignment (SSA) form used by modern compilers.
Hyung Won Chung, Le Hou, Shayne Longpre +32
Finetuning language models on a collection of datasets phrased as instructions has been shown to improve model performance and generalization to unseen tasks.
Jeff Bezanson, Jiahao Chen, Benjamin Chung +4
Julia is a programming language for the scientific community that combines features of productivity languages, such as Python or MATLAB, with characteristics of performance-oriented languages, such as C++ or Fortran.