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Collections including paper arxiv:2410.16144

Papers - Inference - CPU - Apple

1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Paper • 2410.16144 • Published Oct 21 • 2

Papers - Inference - CPU - Intel

1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Paper • 2410.16144 • Published Oct 21 • 2

Papers - Inference - CPU - Intel vs Apple - BitNet

1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Paper • 2410.16144 • Published Oct 21 • 2

Papers - BitNet

Additional paper with faq, code and tips on: https://github.com/microsoft/unilm/blob/master/bitnet/The-Era-of-1-bit-LLMs__Training_Tips_Code_FAQ.pdf

You Only Cache Once: Decoder-Decoder Architectures for Language Models

Paper • 2405.05254 • Published May 8 • 9
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 603
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model

Paper • 2406.04333 • Published Jun 6 • 36
1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Paper • 2410.16144 • Published Oct 21 • 2

Papers - Inference

Hydragen: High-Throughput LLM Inference with Shared Prefixes

Paper • 2402.05099 • Published Feb 7 • 18
1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Paper • 2410.16144 • Published Oct 21 • 2

Papers - Microsoft

Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22 • 32
GaussianCube: Structuring Gaussian Splatting using Optimal Transport for 3D Generative Modeling

Paper • 2403.19655 • Published Mar 28 • 18
WavLLM: Towards Robust and Adaptive Speech Large Language Model

Paper • 2404.00656 • Published Mar 31 • 10
Enabling Memory Safety of C Programs using LLMs

Paper • 2404.01096 • Published Apr 1 • 1

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