Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone Paper • 2404.14219 • Published Apr 22 • 254
Small-scale proxies for large-scale Transformer training instabilities Paper • 2309.14322 • Published Sep 25, 2023 • 19
Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets Paper • 2201.02177 • Published Jan 6, 2022 • 2
view article Article A failed experiment: Infini-Attention, and why we should keep trying? Aug 14 • 50
Grokfast: Accelerated Grokking by Amplifying Slow Gradients Paper • 2405.20233 • Published May 30 • 6
Transformer Explainer: Interactive Learning of Text-Generative Models Paper • 2408.04619 • Published Aug 8 • 155
Fully-fused Multi-Layer Perceptrons on Intel Data Center GPUs Paper • 2403.17607 • Published Mar 26 • 8
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Paper • 2402.17764 • Published Feb 27 • 603
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking Paper • 2403.09629 • Published Mar 14 • 73
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs Paper • 2402.15627 • Published Feb 23 • 34
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action Paper • 2312.17172 • Published Dec 28, 2023 • 26
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents Paper • 2306.16527 • Published Jun 21, 2023 • 47