AI 카피라이팅
ChatGLM
Zhipu AI is a company transformed from the technological achievements of the Computer Science Department at Tsinghua University, committed to creating a new generation of cognitive intelligence universal models. The company cooperatively developed the bilingual 100 billion level super large scale pre training model GLM-130B, and built a high-precision general Knowledge graph to form a data and knowledge driven cognitive engine. Based on this model, ChatGLM (chatglm. cn) was created.
Traffic Trends
Traffic and engagement over the recent period
Traffic Trend & Ranking
A unified view of monthly visits, global ranking, and region-level ranking.
All-channel Traffic Sources
A breakdown of how traffic is distributed across inbound channels.
User Engagement Analysis
Use bounce rate, visit depth, and time on site to understand engagement quality.
Top Countries
Countries and regions contributing the highest share of visits.
Why choose ChatGLM?
Zhipu AI is a company transformed from the technological achievements of the Computer Science Department at Tsinghua University, committed to creating a new generation of cognitive intelligence universal models. The company cooperatively developed the bilingual 100 billion level super large scale pre training model GLM-130B, and built a high-precision general Knowledge graph to form a data and knowledge driven cognitive engine. Based on this model, ChatGLM (chatglm. cn) was created. In addition, Wisdom Spectrum AI also launched Bigmodel.ai, a cognitive big model platform, including CodeGeeX and CogView and other products, which provides intelligent API services, links hundreds of millions of users in the physical world, enables Metaverse digital people, becomes the base of an actual robot, and endows machines with the ability to "think" like people.
Interface Preview
User Reviews
Related Articles
最近清华开源了ChatGLM-6B模型,想到了可本地部署这个模型,但是我本地显卡内存不够,然后就想用飞桨的studio来部署这个模型
清华ChatGLM底层原理详解——ChatGPT国内最强开源平替,单卡可运行之前跟大家详细解析过OpenAI的GPT1~GPT3、InstructGPT、ChatGPT,Anthropic的Claude。随着算力的不断发展,模型容量也越来越大,但这些模型均未开源,走向了Close AI之路。不过即使开源,个体也很难玩转这些模型,计算资源(显卡)、数据集等都是困难。
国产开源大模型盘点:ChatGLM-6B 和 MOSS 的应用与创新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) 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。
ChatGPT开源平替(1)——ChatGLM ChatGLM:本地化搭建大模型实例最近ChatGLM-6B清华开源模型发布,之前玩ChatGBT觉得挺好玩,想着能不能自己本地用chatgpt,毕竟某些不可抗力因素使用ChatGBT比较困难,目前申请不了百度文心一言的模型API,因此想自己部署ChatGLM-6B来进行测试,由于本地电脑显存不够(最低都要6GB)
五一试验成果,chatGLM落地测试五一试验成果,chatGLM落地测试