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Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
Paper • 2211.04325 • Published -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 17 -
On the Opportunities and Risks of Foundation Models
Paper • 2108.07258 • Published -
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 1
Collections
Discover the best community collections!
Collections including paper arxiv:1911.02150
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FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Paper • 2205.14135 • Published • 13 -
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
Paper • 2307.08691 • Published • 8 -
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
Paper • 2407.08608 • Published • 1 -
Fast Transformer Decoding: One Write-Head is All You Need
Paper • 1911.02150 • Published • 6
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Lossless Acceleration for Seq2seq Generation with Aggressive Decoding
Paper • 2205.10350 • Published • 2 -
Blockwise Parallel Decoding for Deep Autoregressive Models
Paper • 1811.03115 • Published • 2 -
Fast Transformer Decoding: One Write-Head is All You Need
Paper • 1911.02150 • Published • 6 -
Sequence-Level Knowledge Distillation
Paper • 1606.07947 • Published • 2
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The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only
Paper • 2306.01116 • Published • 34 -
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Paper • 2205.14135 • Published • 13 -
RoFormer: Enhanced Transformer with Rotary Position Embedding
Paper • 2104.09864 • Published • 12 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 13