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Collections including paper arxiv:1706.03762

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 602
Mixtral of Experts

Paper • 2401.04088 • Published Jan 8 • 159
Mistral 7B

Paper • 2310.06825 • Published Oct 10, 2023 • 47
Don't Make Your LLM an Evaluation Benchmark Cheater

Paper • 2311.01964 • Published Nov 3, 2023 • 1

From zero to GPT-hero

Reading list to fully understand GPT (and GPT-2) and to be able to implement those from scratch

Neural Machine Translation of Rare Words with Subword Units

Paper • 1508.07909 • Published Aug 31, 2015 • 4
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 44
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 14
Generating Wikipedia by Summarizing Long Sequences

Paper • 1801.10198 • Published Jan 30, 2018 • 3

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 44
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 11
Learning to summarize from human feedback

Paper • 2009.01325 • Published Sep 2, 2020 • 4
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 15

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