The Era of 1-Bit LLMs: All Large Language Models Are in 1.58 Bits (synthical.com)

Screenshot of synthical.com: The Era of 1-Bit LLMs: All Large Language Models Are in 1.58 Bits

First screen, captured 2 years ago.

Looks similar

Screenshot of arxiv.org: The Era of 1-bit LLMs: ternary parameters for cost-effective computing

The Era of 1-bit LLMs: ternary parameters for cost-effective computing (arxiv.org)

962 points by fgfm 2 years ago | 419 comments

arXiv paper introducing BitNet b1.58, a ternary-weight (-1, 0, 1) LLM matching full-precision Transformers while being far cheaper in latency, memory, and energy.

bitnet 1-bit-llm quantization ternary-weights

Screenshot of ml-gsai.github.io: Large Language Diffusion Models

Large Language Diffusion Models (ml-gsai.github.io)

29 points by SerCe 1 year ago | 7 comments

Screenshot of penghtyx.github.io: Era3D: High-Resolution Multiview Diffusion Using Efficient Row-Wise Attention

Era3D: High-Resolution Multiview Diffusion Using Efficient Row-Wise Attention (penghtyx.github.io)

105 points by jasondavies 2 years ago | 9 comments

Screenshot of sepllm.github.io: SepLLM: Accelerate LLMs by Compressing One Segment into One Separator

SepLLM: Accelerate LLMs by Compressing One Segment into One Separator (sepllm.github.io)

30 points by limoce 1 year ago | 2 comments

Screenshot of mlc.ai: What Is ML Compilation

What Is ML Compilation (mlc.ai)

78 points by tosh 3 years ago | 3 comments

Screenshot of blog.lyc8503.net: Detecting LLM-Generated Texts with “Classical” Machine Learning

Detecting LLM-Generated Texts with “Classical” Machine Learning (blog.lyc8503.net)

219 points by uneven9434 3 months ago | 163 comments

Looks similar

The Era of 1-bit LLMs: ternary parameters for cost-effective computing(arxiv.org)

Large Language Diffusion Models(ml-gsai.github.io)

Era3D: High-Resolution Multiview Diffusion Using Efficient Row-Wise Attention(penghtyx.github.io)

SepLLM: Accelerate LLMs by Compressing One Segment into One Separator(sepllm.github.io)

What Is ML Compilation(mlc.ai)

Detecting LLM-Generated Texts with “Classical” Machine Learning(blog.lyc8503.net)