From c2c03a92785fffabf219eb3508893a8d81d60994 Mon Sep 17 00:00:00 2001 From: xiao9905 Date: Wed, 15 Mar 2023 14:04:00 +0800 Subject: [PATCH] Update limitations --- README.md | 31 ++++++++++++++++++++++++- limitations/factual_error.png | Bin 0 -> 137743 bytes limitations/math_error.png | Bin 0 -> 25780 bytes limitations/self-confusion_google.jpg | Bin 0 -> 155835 bytes limitations/self-confusion_openai.jpg | Bin 0 -> 146200 bytes limitations/self-confusion_tencent.jpg | Bin 0 -> 128376 bytes 6 files changed, 30 insertions(+), 1 deletion(-) create mode 100644 limitations/factual_error.png create mode 100644 limitations/math_error.png create mode 100644 limitations/self-confusion_google.jpg create mode 100644 limitations/self-confusion_openai.jpg create mode 100644 limitations/self-confusion_tencent.jpg diff --git a/README.md b/README.md index 092cb4c..81ed616 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,10 @@ ## 介绍 -ChatGLM-6B 是一个开源的、支持中英双语的对话语言模型,基于 [General Language Model (GLM)](https://github.com/THUDM/GLM) 架构,具有 62 亿参数。结合模型量化技术,用户可以在消费级的显卡上进行本地部署(INT4 量化级别下最低只需 6GB 显存)。ChatGLM-6B 使用了和 ChatGPT 相似的技术,针对中文问答和对话进行了优化。经过约 1T 标识符的中英双语训练,辅以监督微调、反馈自助、人类反馈强化学习等技术的加持,62 亿参数的 ChatGLM-6B 已经能生成相当符合人类偏好的回答。更多信息请参考我们的[博客](https://chatglm.cn/blog)。 +ChatGLM-6B 是一个开源的、支持中英双语的对话语言模型,基于 [General Language Model (GLM)](https://github.com/THUDM/GLM) 架构,具有 62 亿参数。结合模型量化技术,用户可以在消费级的显卡上进行本地部署(INT4 量化级别下最低只需 6GB 显存)。 +ChatGLM-6B 使用了和 ChatGPT 相似的技术,针对中文问答和对话进行了优化。经过约 1T 标识符的中英双语训练,辅以监督微调、反馈自助、人类反馈强化学习等技术的加持,62 亿参数的 ChatGLM-6B 已经能生成相当符合人类偏好的回答。更多信息请参考我们的[博客](https://chatglm.cn/blog)。 + +不过,由于ChatGLM-6B的规模较小,目前已知其具有相当多的[局限性](##局限性),如事实性/数学逻辑错误,可能生成有害/有偏见内容,较弱的上下文能力,以及自我认知混乱。请大家在使用前了解这些问题,以免产生误解。 同时,我们基于千亿基座的[ChatGLM 模型](https://chatglm.cn)正在邀请制内测,后续将逐步扩大内测范围,欢迎申请加入内测。 @@ -163,6 +166,32 @@ model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).bf +## 局限性 + +由于ChatGLM-6B的小规模,其能力仍然有许多局限性。以下是我们目前发现的一些问题: + +- 模型容量较小:6B的小容量,决定了其相对较弱的模型记忆和语言能力。在面对许多事实性知识任务时,ChatGLM-6B可能会生成不正确的信息;它也不擅长逻辑类问题(如数学、编程)的解答。 +
点击查看例子 + + ![](limitations/factual_error.png) + + ![](limitations/math_error.png) + +
+ +- 产生有害说明或有偏见的内容:ChatGLM-6B只是一个初步与人类意图对齐的语言模型,可能会生成有害、有偏见的内容。(内容可能具有冒犯性,此处不展示) + +- 易被误导,对话能力较弱:ChatGLM-6B 对话能力还比较弱,而且 “自我认知” 存在问题,并很容易被误导并产生错误的言论。例如当前版本的模型在被误导的情况下,会在自我认知上发生偏差。 +
点击查看例子 + + ![](limitations/self-confusion_google.jpg) + + ![](limitations/self-confusion_openai.jpg) + + ![](limitations/self-confusion_tencent.jpg) + +
+ ## 协议 本仓库的代码依照 [Apache-2.0](LICENSE) 协议开源,ChatGLM-6B 模型的权重的使用则需要遵循 [Model License](MODEL_LICENSE)。 diff --git a/limitations/factual_error.png b/limitations/factual_error.png new file mode 100644 index 0000000000000000000000000000000000000000..fc3a9b669dc94045aa0f59de0b124c72a61296e1 GIT binary patch literal 137743 zcmeEtWmFtp)-D<}xCD2%;MTYY4el<%9U6BF1ef5!gS)%CyE_DjU_lygXJ)>cH*>#P z>;AYur&d+h>8fM3Pt`tq@8>xYN(xeM5%CcrARyk#NQ)~&K)_r=KtN%@zX4wn&1S8F zfIt?u6cbaD5fdX-awfYVeN#>vu&kByyzf|o{UM~&Em44%{v?w!e8U6FJ2TP+-bu}IY%?v2(|^|9ckb7 zK96if=^l?*#67JI#_lp&Bg8k!eJ3g{h)=qqfV}V&SWXU4GB@J4*LGX^t%`W5c_r91KW( zi%ED)f20?rPzAF=KCEy$G#zY&ggmkZ|0S)obhP3cJgtoJXyU54p`HCJ9T7qn zv=CUj+v;37nNMva9gGHi?+t8B8e%cad!7($F?*99y0wA263-6IOJ)J#NgUrOVxyz+ zzakl+5$0y_-^r1F_@H#;jfVTCpJ8wZ%Td2ZD=tQO)`@sjG zqWdoWdlV+i#I|G~{cd-PKW*2WZhuJADsz9RSm1NIC%*M~b>Jij^lGv=QHJ zG6es+or%PNI*<-m+V;A64Snh!3Y$ucO+j!uG(}iN8HyGZvE8SXD_|G=wA%s1YJ1aj z{F&YHBEZADkp@6khe?c4fysx^NDVJbDI~#*=pqVIQe$TG9fP%l<`lRjT|+GqGt(vE 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