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Collections including paper arxiv:2307.09288

One Wide Feedforward is All You Need

Paper • 2309.01826 • Published Sep 4, 2023 • 31
Gated recurrent neural networks discover attention

Paper • 2309.01775 • Published Sep 4, 2023 • 7
FLM-101B: An Open LLM and How to Train It with $100K Budget

Paper • 2309.03852 • Published Sep 7, 2023 • 43
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 75

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

catchup readings

Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 241
Large-Scale Automatic Audiobook Creation

Paper • 2309.03926 • Published Sep 7, 2023 • 53
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting

Paper • 2309.04269 • Published Sep 8, 2023 • 32
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 87

facebook/bart-large

Feature Extraction • Updated Jun 3, 2022 • 108k • 176
meta-llama/Llama-2-7b

Text Generation • Updated Apr 17 • 4.11k
stabilityai/stable-diffusion-xl-base-1.0

Text-to-Image • Updated Oct 30, 2023 • 2.72M • • 5.92k
fka/awesome-chatgpt-prompts

Viewer • Updated Sep 3 • 170 • 7.93k • 6.1k

meta-llama/Llama-2-7b

Text Generation • Updated Apr 17 • 4.11k
Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 241
monster-labs/control_v1p_sd15_qrcode_monster

Updated Jul 21, 2023 • 108k • 1.35k

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