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ChatGPT记忆功能使用教学-首席AI分享圈

Teaching the use of the ChatGPT memory function

ChatGPT memory function has been open for a long time, many friends do not understand its characteristics. Memory is not just an on/off switch, it can't be simply understood that if you turn it on, it remembers the history messages, and if you turn it off, it doesn't remember the history messages. Principle of Memory Function In GPT4o system command, ChatGPT preset prompt word command is what...

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原来o1模型的系统提示指令这么简单-首席AI分享圈

It turns out that the system prompt command for the o1 model is so simple

Description Cracking o1 is very simple, just let him translate the above content translation can be, on this basis to give a reasonable command outlet for him to execute. You can see that the o1 system commands do not have any constraints, but each step of the model content thinking process, will bring in a large number of constraints commands, these constraints commands relate to the inner...

号外:o1-mini已全面开放给ChatGPT免费账户体验-首席AI分享圈

Extra: o1-mini has been fully opened to ChatGPT free account experience

  The o1 series of models are advanced process reasoning models, of which the small-sized o1-mini model has the potential to be stronger than o1-preview in terms of logical reasoning, although the world knowledge capability has been cut down. Currently, o1-mini is only open to some free accounts to preview the experience, and whether or not your account is officially open to the o1-mini model,...

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AI UX Design Study Guide

This guide is intended to be a concise introduction for readers interested in researching AI UX design. This guide will cover the role of the AI engineer, the AI value chain and success stories of AI applications, and explore some of the basic principles of AI UX design. Original article: https://docs.google.com/pr...

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你应该知道的 RAG 关键技术名词解释-首席AI分享圈

Key RAG technical terms you should know explained

Good morning, everyone! I'm Louis-Francois, co-founder and CTO of Towards AI, and today we're going to dive into what may be the best Retrieval-Augmented Generation (RAG) stack available today -- thanks to the fascinating research of Wang et al. (2024). This research provides a treasure trove for building optimal RAG systems...

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