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Collections including paper arxiv:2205.14135

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Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1, 2024 • 25
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Paper • 2205.14135 • Published May 27, 2022 • 11
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 50
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Paper • 2307.08691 • Published Jul 17, 2023 • 8

Efficient Memory Management for Large Language Model Serving with PagedAttention

Paper • 2309.06180 • Published Sep 12, 2023 • 25
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models

Paper • 2308.16137 • Published Aug 30, 2023 • 39
Scaling Transformer to 1M tokens and beyond with RMT

Paper • 2304.11062 • Published Apr 19, 2023 • 2
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Paper • 2309.14509 • Published Sep 25, 2023 • 17

inference optimization

about 21 hours ago

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Paper • 2205.14135 • Published May 27, 2022 • 11
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Paper • 2307.08691 • Published Jul 17, 2023 • 8
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision

Paper • 2407.08608 • Published Jul 11, 2024 • 1
Fast Transformer Decoding: One Write-Head is All You Need

Paper • 1911.02150 • Published Nov 6, 2019 • 6

code-assistant-llm

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Paper • 2205.14135 • Published May 27, 2022 • 11
Fast Transformer Decoding: One Write-Head is All You Need

Paper • 1911.02150 • Published Nov 6, 2019 • 6
Efficient Training of Language Models to Fill in the Middle

Paper • 2207.14255 • Published Jul 28, 2022 • 1

nvidia/Llama-3.1-Nemotron-70B-Instruct

Updated Oct 25, 2024 • 70 • 537
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Paper • 2205.14135 • Published May 27, 2022 • 11

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Paper • 2205.14135 • Published May 27, 2022 • 11

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 50
LLaMA: Open and Efficient Foundation Language Models

Paper • 2302.13971 • Published Feb 27, 2023 • 13
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 17
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Paper • 2407.21770 • Published Jul 31, 2024 • 22

Simple linear attention language models balance the recall-throughput tradeoff

Paper • 2402.18668 • Published Feb 28, 2024 • 18
Linear Transformers with Learnable Kernel Functions are Better In-Context Models

Paper • 2402.10644 • Published Feb 16, 2024 • 79
Repeat After Me: Transformers are Better than State Space Models at Copying

Paper • 2402.01032 • Published Feb 1, 2024 • 22
Zoology: Measuring and Improving Recall in Efficient Language Models

Paper • 2312.04927 • Published Dec 8, 2023 • 2

Literature review on transformer architecture and what followed.

Universal Language Model Fine-tuning for Text Classification

Paper • 1801.06146 • Published Jan 18, 2018 • 6
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 16
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Paper • 2205.14135 • Published May 27, 2022 • 11
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Paper • 1808.06226 • Published Aug 19, 2018 • 1

Paper - efficiency

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Paper • 2205.14135 • Published May 27, 2022 • 11

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