In 2023, we will enter the AI2.0 era. Microsoft founder Bill Gates said that the emergence of ChatGPT has great historical significance, no less than the advent of the Internet and personal computers. Zhou Hongyi, founder of 360, believes that if all walks of life cannot catch this bus in the future, they may be eliminated. In this digital era, how to efficiently process text, literature review, PPT editing, programming, drawing and paper writing has become your key to success. The essential. ChatGPT, as a powerful natural language processing model, has significant advantages and can help you make breakthroughs in various fields.
ChatGPT also has strong capabilities in paper writing and programming. Whether it is code generation, error debugging or solving programming problems, ChatGPT can provide you with practical and high-quality suggestions and guidance to improve programming efficiency and accuracy. Furthermore, ChatGPT is an excellent partner to provide you with support in essay writing. It can provide you with guidance on the structure of your paper, suggestions for paragraph reorganization, and even further expansion and enrichment of the content of your paper. Using ChatGPT's writing capabilities, you can better organize your ideas and improve the logic and quality of your paper.
1: Everyone can get an independent ChatGPT account that can be used free of charge forever.
Two: Get a free ChatGPT Plus membership account. The functions of the ChatGPT Plus membership account include:
1. Unlimited ChatGPT model usage.
2. Use GPT-4 model.
3.GPT-4 image analysis function.
4.GPT-4 networking function.
5.GPT-4 advanced data analysis functions.
6.GPT-4 advanced plug-in function.
7.DALLE-3 advanced AI drawing function.
Three: Free* and a complete set of video tutorials.
【Target】:
1. Be proficient in ChatGPT prompt word skills and various application methods, and become an assistant at work.
2. Master ChatGPT writing and revising papers and work reports through cases, providing writing skills and optimization work.
3. Proficient in the application of ChatGPT integration related plug-ins, and completing related scientific research projects such as data analysis, programming and deep learning.
4. Master various AI drawing tools and generate various types of images at will.
5. Summarize everyone’s concerns and provide on-site guidance and communication.
[Brief description of content]:
Topic 1. Basic explanation of AIGC
1.1 Overview of AIGC course
1.2 AIGC technology development
1.3 Basic concepts of artificial intelligence
1.4 Selection of large language models
1.5 Introduction to large language model context association
1.6 Introduction to the concept of Tokens
1.7 (Hands-on exercise) How to use ChatGPT/GPT4 official website
1.8 (Hands-on exercise) How to use ChatGPT/GPT4 in China
1.9 (Hands-on exercise) How to use the API of ChatGPT/GPT4
1.10 Explanation of Prompt Word Project
1.11 Tips on how to write a good paper
Topic 2. Introductory practical skills of large language model (LLM)
2.1 LLM usage skills 1-Role playing
2.2 Tips for using LLM 2-Change the tone
2.3 LLM usage skills 3-change specific tasks
2.4 LLM usage skills 4-Contextual association
2.5 The difference between large language models and search engines
2.6 (Hands-on exercise) AI is the best translation software
2.7 (Hands-on exercise) Let AI plan your travel itinerary for you
2.8 (Hands-on exercise) Let AI learn analogies
2.9 (Hands-on exercise) Let AI generate tables
2.10 (Hands-on exercise) Let AI use Socratic teaching
2.11 (Hands-on exercise) How to communicate scientific research issues with AI
Topic 3. Artificial Intelligence Algorithm
3.1 How is the AI algorithm trained?
3.2 Analysis of common architectures of deep learning
3.3 GPT1-3 model
3.4 Reinforcement learning and InstructGPT model explanation
3.5 RLHF Human Feedback Reinforcement Learning
3.6 ChatGPT and GPT4 models
Topic 4. Advanced Practical Skills for Large Language Models
4.1 (Hands-on Exercise) Zero-Sample Thinking Chain Tips - Improve the model's logical reasoning ability
4.2 (Hands-on practice) Multi-sample thinking chain prompts-improving model imitation capabilities
4.3 (Hands-on exercise) Self-consistency-improving the mathematical ability of the model
4.4 (Hands-on exercise) Generate knowledge prompts-improve model knowledge level
4.5 (Hands-on exercise) Asking GPT for business and marketing advice
4.6 (Hands-on exercise) Use GPT to improve your product or service
4.7 (Hands-on exercise) Let AI organize the data in the article
4.8 (Hands-on exercise) Let AI help you with data processing
4.9 (Hands-on exercise) Let AI classify user comments
4.10 (Hands-on exercise) Let AI help you write reports
4.11 (Hands-on practice) Let AI pose questions based on knowledge points
4.12 (Hands-on exercise) Let AI produce video scripts
4.13 (Hands-on exercise) Let AI help you write your resume
4.14 (Hands-on practice) Let AI help you conduct mock interviews
Topic 5: Let GPT be your paper assistant
5.1 (Hands-on exercise) Determine whether the article is generated by AI
5.2 (Hands-on exercise) Upload a local PDF paper and let GPT provide review comments
5.3 (Hands-on exercise) Upload a local PDF paper and let GPT help you translate it
5.4 (Hands-on exercise) Upload a local PDF paper and then let GPT related questions in the paper
5.5 (Hands-on exercise) Use GPT to help you generate a paper abstract
5.6 (Hands-on exercise) Use GPT to help you generate a literature review
5.7 (Hands-on exercise) Use GPT to help you with the technical methods in your paper
5.8 (Hands-on exercise) Use GPT to help you polish your Chinese paper
5.9 (Hands-on exercise) Use GPT to help you polish your Chinese and English papers
5.10 (Hands-on exercise) Use GPT to help you make suggestions for revising your paper
5.11 (Hands-on exercise) Use GPT to help you translate and polish
5.12 (Hands-on exercise) Use GPT to help you reduce the weight of your paper
5.13 (Hands-on exercise) Let AI help you write a paper review and mark the source of the content
5.14 (Hands-on exercise) Let AI help you find papers related to a certain point of view or content
5.15 (Hands-on exercise) Let AI help you find papers related to a certain paper
5.16 (Hands-on exercise) How to write a complete paper using GPT
5.17 (Hands-on exercise) Use GPT to polish the entire paper
5.18 (Hands-on exercise) Paper search using GPT
Topic 6. Let GPT be your programming assistant
6.1 (Hands-on exercise) Use GPT to implement a program for a specific function
6.2 (Hands-on exercise) Using GPT to explain code
6.3 (Hands-on exercise) Use GPT to correct and modify code
6.4 (Hands-on exercise) Use GPT to answer code questions
6.5 (Hands-on exercise) Use GPT to help you optimize your code
6.6 (Hands-on exercise) Use GPT to read local data and then write code
6.7 (Hands-on exercise) Let GPT help you provide the complete project code and continuously correct the code
6.8 (Hands-on exercise) Automated AI programming assistant
Topic 7. Complete scientific research/project implementation case
7.1 based on GPT (hands-on exercise) Use GPT to understand scientific research/project related knowledge
7.2 (Hands-on exercise) Use GPT to optimize the design of scientific research/projects
7.3 (Hands-on exercise) Use GPT to answer scientific research/project-related questions
7.4 (Hands-on exercise) Use GPT to read local data (Excel data or CSV data, etc.)
7.5 (Hands-on exercise) Use GPT to write model modeling programs for scientific research/project data
Topic 8. Application of GPT in earth science
8.1 (Hands-on exercise) Use GPT to draw world map coastlines
8.2 (Hands-on exercise) Draw different map projections with GPT
8.3 (Hands-on exercise) Drawing the Antarctic projection using GPT
8.4 (Hands-on exercise) Use GPT to plot various key variables of the earth
8.5 (Hands-on exercise) Use GPT to draw a typhoon total precipitation map
8.6 (Hands-on exercise) Use GPT to draw typhoon wind speed map
8.7 (Hands-on exercise) Calculate total typhoon precipitation using GPT
8.8 (Hands-on exercise) Use GPT to perform machine learning modeling and classification on remote sensing image spectral data
8.9 (Hands-on exercise) Use GPT to draw remote sensing image classification results
Topic 9. Expanded Application of GPT
9.1 (Hands-on Exercise) Introduction and Use of the Fully Automatic AI Assistant autoGPT
9.2 (Hands-on exercise) ChatGPT connects to the Internet to obtain the latest information
9.3 (Hands-on exercise) 3 ways to use AI tools to quickly produce high-end PPT
9.4 (Hands-on exercise) Use AI tools to quickly produce short videos
9.5 (Hands-on exercise) Use AI tools to quickly create flow charts
9.6 How does the large language model understand text information?
9.7 How large language models understand mathematics
Topic 10. ChatGPT/GPT4 interface python program development and learning
10.1 (hands-on exercise) ChatGPT/GPT4 interface program basics
10.2 (Hands-on exercise) GPT4 model calling
10.3 (Hands-on exercise) Explanation of prompt principles
10.4 (Hands-on exercise) Explanation of iterative optimization
10.5 (Hands-on exercise) Text summary explanation
10.6 (Hands-on exercise) GPT inference explanation
10.7 (Hands-on exercise) Text conversion explanation
10.8 (Hands-on exercise) Text expansion explanation
10.9 (Hands-on exercise) Use GPT program interface to create a chatbot
10.10 (Hands-on exercise) Use GPT program interface to create an ordering robot
Topic 11. Detailed explanation of ChatGPT Plus/GPT4 functions
11.1 (hands-on practice) GPT4 model use
11.2 (Hands-on exercise) GPT4 networking function
11.2 (Hands-on exercise) GPT4 recognizes product prices in pictures
11.3 (Hands-on exercise) GPT4 identifies the type of liquid in the picture
11.4 (Hands-on exercise) GPT4 recognizes and solves mathematical problems in pictures
11.5 (Hands-on exercise) GPT4 recognizes landmarks in pictures
11.6 (Hands-on exercise) GPT4 recognizes dishes in pictures
11.7 (Hands-on exercise) GPT4 medical imaging diagnosis
11.8 (Hands-on exercise) GPT4 identifies statistical analysis graphs and generates corresponding drawing codes
Topic 12. Detailed explanation of advanced data analysis and plug-in functions of ChatGPT Plus/GPT4
12.1 (Hands-on exercise) Using advanced data analysis functions to perform mathematical calculations
12.2 (Hands-on exercise) Generating QR codes using advanced data analysis capabilities
12.3 (Hands-on exercise) Using advanced data analysis functions for image processing
12.4 (Hands-on exercise) Using advanced data analysis capabilities for text recognition
12.5 (Hands-On) Automated data processing and analysis using advanced data analysis capabilities
12.6 (Hands-on exercise) Use the GPT plug-in to draw statistical analysis icons
12.7 (Hands-on exercise) Solving equations using the GPT plug-in
12.8 (Hands-on exercise) Using the GPT plug-in to do chemical calculations
12.9 (Hands-on exercise) Using the GPT plug-in to do physical calculations
12.10 (Hands-on exercise) Using the GPT plug-in for inference calculations
12.11 (Hands-on exercise) Using GPT plug-in to answer paper questions
12.12 (Hands-on exercise) Search papers using the GPT plug-in
12.13 (Hands-on exercise) Writing a paper using the GPT plug-in
Topic 13. Application of drawing tools DALL-E2 and Midjourney
13.1 Explanation of AI drawing principles
13.2 Explanation of Vincentian diagrams and Tusheng diagrams
13.3 Explanation of CLIP model and diffusion model
1.4 Explanation of drawing tool DALL-E2
13.5 Midjourney Tools Explanation
13.6 Midjourney improves resolution and image fine-tuning
13.7 Midjourney sets up a private server
13.8 Midjourney’s prompt word reference
13.9 (Hands-on exercise) Explanation and practice of remix mode
13.10 (Hands-on exercise) Explanation and practice of blend command
13.11 (Hands-on exercise) Explanation and practice of describe command
13.12 (Hands-on exercise) Picture-generating picture generates new pictures from pictures
13.13 (Hands-on exercise) Explanation and practice of Midjourney parameters and settings
13.14 (Hands-on exercise) Using chatgpt to generate prompt words for images
13.15 (Hands-on exercise) Combining parameter settings to generate high-quality images
13.16 (Hands-on practice) Midjourney scientific research drawing explanation and practice
Topic 14. Basic Application of Drawing Tool Stable Diffusion
14.1 Explanation of Stable Diffusion Tool
14.2 Explanation of different models of Stable Diffusion
14.3 Stable Diffusion environment deployment explanation
14.4 Explanation of common prompt words for Stable Diffusion
14.5 Explanation of Stable Diffusion work interface
14.6 (Hands-on exercise) Generating pictures from text
14.7 (Hands-on exercise) Generating pictures from pictures
14.8 (Hands-on exercise) Reverse prompt words through pictures
14.9 (Hands-On) Grammar and Weighting of Prompt Words
14.10 (Hands-on exercise) Generate new images by imitating other people’s high-quality images
14.11 (Hands-on exercise) Intelligent image enlargement algorithm
14.12 (Hands-on exercise) Turn anime characters into real people
Topic 15. Advanced Application of Drawing Tool Stable Diffusion
15.1 Download and Deployment of Lora Model
15.2 (Hands-on exercise) Use the Lora model to generate realistic character images
15.3 (Hands-on exercise) Use the Lora model to generate two-dimensional character images
15.4 (Hands-on exercise) Use Inpainting to perform partial redrawing of images
15.5 Explanation of Stable Diffusion’s plug-in system
15.6 Controlnet plug-in explanation
15.7 Display of different model effects in Controlnet
15.8 (Hands-on exercise) Using line drawings to generate decoration and architecture
15.9 (Hands-on exercise) Coloring pictures using line drawings
15.10 (Hands-on exercise) Generating images of people in specific poses
Topic 16. Application of the latest drawing tool DALL-E 3
16.1 (Hands-on exercise) Explanation and application of DALL-E 3 model
16.2 (Hands-on exercise) Using DALL-E 3 with GPT4
16.3 (Hands-on practice) Use of Chinese prompt words in DALL-E 3
16.4 (Hands-on exercise) DALL-E 3 Modify pictures based on contextual content
16.5 (Hands-on exercise) DALL-E 3 generates specific text in images
16.6 (Hands-on exercise) Continuous optimization of DALL-E 3 drawing results
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