介绍一篇关于压缩率文章《Compression Represents Intelligence Linearly》 [1]1.背景1.1 Lossless Compression of Language 无损压缩是只指通过代码将文本压缩,并且保留原始的文本信息 实… 溜溜梅了没 GPCC(Point Cloud Compression)TMC13v9官方文档翻译学习 知乎的菠萝 压缩即智能 (compression for AI)随笔 今天把ilya在...
The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”;Lukas Berglund et al Language Modeling Is Compression;Grégoire Delétang et al FROM LANGUAGE MODELING TO INSTRUCTION FOLLOWING: UNDERSTANDING THE BEHAVIOR SHIFT IN LLMS AFTER INSTRUCTION TUNING;Xuansheng Wu et al RESOLVI...
Language Modeling Language Modelling Model Compression Datasets Edit GLUE SST SQuAD SST-2 QNLI WikiText-2 MRPC WikiText-103 WebText LAMBADA OpenWebText Results from the Paper Edit Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to...
={MiniDisc: Minimal Distillation Schedule for Language Model Compression}, author={Zhang, Chen and Yang, Yang and Wang, Qifan and Liu, Jiahao and Wang, Jingang and Xian, Yunsen and Wu, Wei and Song, Dawei}, booktitle={arXiv}, year={2022} } About Code for paper titled "MiniDisc...
Github [4.5%]:我们使用谷歌BigQuery提供的公开GitHub数据集,只保留了Apache、BSD和MIT许可证下发布的项目。此外,我们还使用基于行长或字母数字字符比例的启发式方法过滤低质量文件,并使用正则表达式删除样板文件,例如标头。最后,我们在文件级别进行去重,完全匹配。 Wikipedia [4.5%]:我们添加了2022年6月至8月期间涵盖20...
language modeling objectives on massive text data, enabling it to generate memory slots that accurately and comprehensively represent the original context; Then, it is fine-tuned on instruction data for producing desirable responses to various prompts. Experiments demonstrate ...
works address the above challenges. Finally, since this area is new and quickly evolving, we discuss the open problems and promising future directions. We summarize the representative papers along with their code repositories inhttps://github.com/tsinghua-fib-lab/LLM-Agent-Based-Modeling-and-...
While Jeff Elman’s [ELM 90] seminal work suggested early on that semantic and also syntactic structure automatically emerges from a set of simple recurrent units, such an approach has received little attention in language modeling for a long time, but is currently of interest to many computation...
There is a large literature on additive models being used for interpretable modeling. This includes GAMs41, which have achieved strong performance in various domains by modeling individual component functions/interactions using regularized boosted decision trees34and more recently using neural networks42. ...
def is_exact_match(a, b): return a.strip() == b.strip() model.eval() 1. 2. 3. 4. 输出如下: GPTNeoXForCausalLM( (gpt_neox): GPTNeoXModel( (embed_in): Embedding(50304, 512) (emb_dropout): Dropout(p=0.0, inplace=False) ...