Table of contents

Use ChatGPT+MindShow to generate PPT in three minutes

Combine with teleprompter to achieve better questioning effect:

Better question ChatGPT_Common prompt table_Xiaohuang classmate LL's blog-CSDN blog

Take a chestnut:

Use ChatGPT+MindShow to generate PPT in three minutes

Prompt:

整理一份PPT提纲，主题是如何高效读—本书。请注意，回答的内容用markdown格式呈现

# 如何高效读——本书

## 目录

1. 引言
    - 高效读书的重要性
2. 提前准备
    - 阅读前的准备工作
    - 制定阅读计划
3. 快速通读
    - 整体把握阅读材料
    - 初步感知主题和内容
4. 细节阅读
    - 重点标注摘抄
    - 有重点有针对性阅读
5. 总结归纳
    - 固化记忆与知识点概括
    - 生成思维导图帮助回顾
6. 结语
    - 给自己启示和阅读建议

## 引言

在信息大爆炸的时代，读书阅读成为人们获取知识和沉淀思考的一种重要方式。高效读书不仅能节省时间，更能提高阅读效率、促进个人成长。

## 提前准备

在阅读前的准备工作中，我们需要做好以下几个方面：

- 确定阅读的目的和对象
- 制定阅读计划并合理安排时间
- 知识储备的准备

## 快速通读

在整体把握阅读材料的过程中，需要注意以下因素：

- 摆好心态，快速进入读书状态
- 屏蔽外界干扰源，包括手机和社交媒体
- 粗略浏览每章节内容，抓住文中的主题关键词
- 初步感知主题和内容，提高对整本书的认识度

## 细节阅读

在重心放在细节的阅读过程中，我们需要做到：

- 标注重点和核心内容
- 适时记录摘抄，理解并消化文本
- 有针对性、针对重点进行有序地阅读

## 总结归纳

阅读结束后，我们需要进行总结概括，这包括以下几个方面：

- 迅速回顾阅读过程中的关键内容和知识点
- 固化记忆和巩固认知
- 尝试生成思维导图，帮助回顾与巩固学习

## 结语

高效读书需要不断的实践与积累，希望这份PPT提纲能够给你提供一些有用的启示和阅读建议，让你阅读更高效，也更有收获。

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Free domestic mirror recommendation

The following is a collection of the most stable and smoothChatGPT镜像网站

The following is the answer of the mirror station about the development of gpt, and it can be seen that the information update time of the station is at the end of 2020:

Phase 1 (GPT-1): In June 2018, OpenAI released a version of GPT called GPT-1. The model uses a Transformer-based decoder for end-to-end prediction. Compared with previous NLP models, GPT-1 shows better results on many tasks. This model uses a large amount of text data on the Internet for unsupervised training to predict the next word in the word sequence.

Phase 2 (GPT2): In February 2019, OpenAI released GPT-2. This type uses a larger corpus and more model parameters. Compared with GPT-1, the performance of GPT-2 has been significantly improved, and it has even been called "a new era of artificial text". It is worth noting that due to OpenAI's concerns that the GPT-2 model is "too dangerous", the company decided not to Fully disclose this model, only part of the data and architecture Phase 3 (G-3): In May 2020, OpenAI released G-3. This model has about 175 billion parameters and is the largest NLP model at the time. GPT-3 Compared with the previous version, the model has achieved good results in various NLP tests. Due to the huge scale of GPT-3, some new applications can be used, such as automatic generation of articles and dialogues, which is in the history of artificial intelligence As a milestone, GPT-3 has received extensive attention and the fourth phase of research (future development: with the continuous improvement of technology and the continuous increase of data, the development of GPT model will also continue to improve. OpenAI is also constantly Develop a new version, and open the API interface to other researchers and researchers so that more people can use the technology. At the same time, there will continue to be new fields that will benefit from the development of the GPT model, so that each field can use artificial intelligence more efficiently Complete more tasks.

GPT-3 has attracted a lot of attention and heated discussions after its launch at the end of 2020

OpenAI launched the ToDai-54 dataset, and used this dataset to improve the dialogue generation model, and the generation effect of the model was further improved.

OpenAI launched their API business plan, providing the API interface service of the GPT-3 model. This allows more people to use and optimize this model in the field of commercial applications and development.

Researchers have proposed several new technologies and improved methods to further improve the prediction accuracy and efficiency of the GPT model. For example, combining noise-added training methods can improve the prediction accuracy of the model, and introducing more model architecture optimization techniques can further improve the model's prediction speed.

At present, some research teams have begun to attack generative models in an attempt to find vulnerabilities to help improve the security of these models. Recently, some researchers found some sensitive information leakage vulnerabilities in GPT-2. This also means that the GPT model is facing security issues.

What is ChatGPT domestic mirror

ChatGPT mirroring refers to a copy of the content of the official ChatGPT website on a different server. These mirror sites are all over the world, allowing users to access ChatGPT more conveniently and quickly, and can reduce the burden on the official website. In China, due to some network restrictions, it may cause some inconvenience to visit the official ChatGPT website. Therefore, establishing a ChatGPT mirror station in China has become a good solution.
ChatGPT mirror sites usually add some extra features based on the official website, such as language support, local specific content, faster access speed, etc. At the same time, ChatGPT mirror sites can also improve the reliability and stability of the official website, because they carry some of the large amount of user traffic and requests.