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Collections including paper arxiv:2203.15556

Papers - Training Research

Measuring the Effects of Data Parallelism on Neural Network Training

Paper • 1811.03600 • Published Nov 8, 2018 • 2
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Paper • 1804.04235 • Published Apr 11, 2018 • 2
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Paper • 1905.11946 • Published May 28, 2019 • 3
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7, 2024 • 63

Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 10
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Paper • 1909.08053 • Published Sep 17, 2019 • 2
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Paper • 1910.10683 • Published Oct 23, 2019 • 11
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Paper • 2304.01373 • Published Apr 3, 2023 • 9

Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 10
Perspectives on the State and Future of Deep Learning -- 2023

Paper • 2312.09323 • Published Dec 7, 2023 • 8
MobileSAMv2: Faster Segment Anything to Everything

Paper • 2312.09579 • Published Dec 15, 2023 • 24
Point Transformer V3: Simpler, Faster, Stronger

Paper • 2312.10035 • Published Dec 15, 2023 • 20

🚀 Spinning Up in LLMs

Lost in the Middle: How Language Models Use Long Contexts

Paper • 2307.03172 • Published Jul 6, 2023 • 40
Efficient Estimation of Word Representations in Vector Space

Paper • 1301.3781 • Published Jan 16, 2013 • 6
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 17
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 55

Interesting AI papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 55
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 17
Universal Language Model Fine-tuning for Text Classification

Paper • 1801.06146 • Published Jan 18, 2018 • 6
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 13

Training & Architectures

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 55
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Paper • 2307.08691 • Published Jul 17, 2023 • 8
Mixtral of Experts

Paper • 2401.04088 • Published Jan 8, 2024 • 158
Mistral 7B

Paper • 2310.06825 • Published Oct 10, 2023 • 46

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Paper • 2309.03883 • Published Sep 7, 2023 • 35
LoRA: Low-Rank Adaptation of Large Language Models

Paper • 2106.09685 • Published Jun 17, 2021 • 35
Agents: An Open-source Framework for Autonomous Language Agents

Paper • 2309.07870 • Published Sep 14, 2023 • 42
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 48

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