Eugene Oskin
eoskin
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hexgrad/Kokoro-82M
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Binary and Scalar Embedding Quantization for Significantly Faster & Cheaper Retrieval
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You could have designed state of the art positional encoding
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Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning
Paper • 2311.11077 • Published • 28 -
Tensor Product Attention Is All You Need
Paper • 2501.06425 • Published • 89 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 45 -
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 66
-
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning
Paper • 2311.11077 • Published • 28 -
Tensor Product Attention Is All You Need
Paper • 2501.06425 • Published • 89 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 45 -
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 66
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