Matryoshka Representation Learning
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2205.13147
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Welcome! We share large, open source multimodal datasets for training and fine-tuning AI to write python and build AI models, we curate collections of guides, papers, datasets, models and tools like frankenmerging AI models.
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CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
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2102.04664
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Deep Data Flow Analysis
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2012.01470
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Classical Sorting Algorithms as a Model of Morphogenesis: self-sorting arrays reveal unexpected competencies in a minimal model of basal intelligence
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2401.05375
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Compiling C to Safe Rust, Formalized
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2412.15042
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MrT5: Dynamic Token Merging for Efficient Byte-level Language Models
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2410.20771
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Byte Latent Transformer: Patches Scale Better Than Tokens
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2412.09871
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wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
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2006.11477
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Discrete Flow Matching
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2407.15595
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No More Adam: Learning Rate Scaling at Initialization is All You Need
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2412.11768
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Qwen2.5 Technical Report
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2412.15115
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344
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
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2412.13663
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