GPT has become an indispensable auxiliary tool for every scientific researcher, and different research fields and projects have different needs.
For example, in the fields of scientific research programming and graphics:
1. Programming suggestions and sample codes: No matter the programming language you use is Python, R, MATLAB or other languages, we can provide you with relevant code samples.
2. Data visualization: Generate various types of data visualization charts, such as line charts, bar charts, scatter charts, pie charts, heat maps, etc. Provide data and requirements, generate corresponding chart code or plot them.
3. Statistical analysis: descriptive statistics, hypothesis testing, regression analysis, etc. Provide relevant suggestions and sample codes to help you understand and interpret the data.
4. Machine learning and data mining: We can provide you with relevant algorithm introductions, model building and parameter adjustment suggestions, and sample codes.
5. Data preprocessing: Data preprocessing is one of the important steps in scientific research. Organize, transform and normalize data for better analysis and modeling.
6. Code optimization and efficiency improvement: It can provide you with optimization suggestions and best practices to help you write more efficient programs.
7. Scientific research methodology: Can discuss and introduce scientific research methodology, including suggestions on experimental design, data collection, result interpretation, and report writing.
Topic 1 Overview of AIGC
1.1 AIGC course overview
1.2 AIGC technology development
1.3 Basic concepts of artificial intelligence
1.4 History of Artificial Intelligence Development
1.5 Introduction to artificial intelligence technology application scenarios
1.6 (Hands-on classroom exercises) How to use ChatGPT official website
1.7 (Hands-on classroom exercise) How to use ChatGPT in China
1.8 (Classroom hands-on exercise) How to use the API of ChatGPT
Topic 2 Introduction to Artificial Intelligence Algorithms
2.1 How is the AI algorithm trained?
2.2 How to evaluate the model effect
2.3 Introduction to common deep learning algorithms
2.4 Introduction to GPT1-3 model
2.5 Introduction to reinforcement learning and InstructGPT model
2.6 Introduction to RLHF Human Feedback Reinforcement Learning
2.7 Introduction to ChatGPT and GPT4 models
Tips for using prompt words in three major language models
3.1 The difference between large language models and search engines
3.2 Introduction to Prompt Engineering
3.3 (Hands-on classroom exercises) Role play
3.4 (Hands-on classroom exercise) Using different tones
3.5 (Hands-on exercises in class) Give specific tasks
3.6 (Hands-on classroom exercise) Using the characteristics of context management associations
3.7 (Class Hands-on Exercise) Zero-Sample Thinking Chain Tips
3.8 (Classroom hands-on exercises) zero shot, one shot, few shot
3.9 (Hands-on classroom exercises) Self-consistency
3. 10 (Hands-on exercises in class) Generate knowledge prompts
Topic 4 Let GPT become your life assistant (hands-on practice in class)
4.1 Treat GPT as a new search engine
4.2 GPT is the best translation software
4.3 Let GPT plan your travel itinerary for you
4.4 Let GPT be your personal fitness coach
4.5 Let GPT be your personal doctor
4.6 Let GPT teach you cooking
4.7 Use GPT to guide children’s learning
4.8 Use GPT to generate fairy tales
4.9 Use GPT to practice English conversation
4.10 Use GPT to generate tabular data
Topic 5 Let GPT become your work secretary (hands-on practice in class)
5.1 Let GPT help you optimize work summary
5.2 Let GPT help you design creative copywriting
5.3 Let GPT write emails for you
5.4 Use GPT to improve your products or services
5.5 Use GPT to analyze the differences between different products
5.6 Seek business and marketing advice from GPT
5.7 Let GPT help you write the contract
5.8 Let GPT help you write your resume
5.9 Let GPT help you conduct mock interviews
Topic 6: Let GPT be your thesis assistant (hands-on practice in class)
6.1 Upload a local PDF paper and let GPT provide review comments
6.2 Upload local PDF papers and let GPT help you translate them
6.3 Upload a local PDF paper and let GPT related issues in the paper
6.4 Use GPT to help you generate paper abstracts
6.5 Use GPT to help you generate a literature review
6.6 Use GPT to help you with the technical methods in your paper
6.7 Use GPT to help you polish your Chinese papers
6.8 Use GPT to help you polish your Chinese and English papers
6.9 Use GPT to help you make suggestions for revising your paper
6.10 Use GPT to help you translate and polish
6.11 How to write a complete paper using GPT
6.12 Use GPT to polish the entire paper
6.13 Use GPT for paper search
Topic 7 Let GPT become your programming assistant (classroom hands-on exercises)
7.1 Programs that use GPT to implement a specific function
7.2 Use GPT to interpret code
7.3 Use GPT for code error correction and modification
7.4 Use GPT to answer code questions
7.5 Use GPT to help you optimize your code
7.6 Use GPT to read local data and then write code
7.7 Let GPT help you provide complete project code and continuously correct the code
7.8 Introduction to the GPT-based programming plug-in copilotX
Topic 8 A complete scientific research/project implementation case based on GPT (hands-on classroom exercises)
8.1 Use GPT to learn about scientific research/project related knowledge
8.2 Use GPT to optimize the design of scientific research/projects
8.3 Use GPT to answer scientific research/project related questions
8.4 Use GPT to read local data (Excel data or CSV data, etc.)
8.5 Use GPT to write model modeling programs for scientific research/project data
8.6 Use GPT to complete scientific research/project paper writing
Topic 9 Application of GPT in Earth Sciences (Hands-on Classroom Exercises)
9.1 Use GPT to draw world map coastlines
9.2 Use GPT to draw different map projections
9.3 Use GPT to draw the Antarctic projection
9.4 Use GPT to map various key variables of the earth
9.5 Use GPT to draw the total typhoon precipitation map
9.6 Use GPT to draw typhoon wind speed map
9.7 Use GPT to calculate total typhoon precipitation
9.8 Calculate maximum radar reflectivity using GPT
9.9 Use GPT to perform machine learning modeling and classification on remote sensing image spectral data
9.10 Use GPT to draw remote sensing image classification results
Topic 10: Extended Application of GPT (Hands-on Classroom Exercise)
10.1 Introduction and use of the fully automatic AI assistant autoGPT
10.2 chatGPT network to get the latest information
10.3 Use AI tools for Excel data processing
10.4 Use AI tools to quickly produce high-end PPT
10.5 Use AI tools to quickly produce short videos
Topic 11 ChatGPT/GPT4 interface python program development learning (classroom hands-on exercises)
11.1 Introduction to python environment installation
11.2 ChatGPT/GPT4 interface program basics
11.3 GPT4 model calling
11.4 Introduction to prompting principles
11.5 Introduction to iterative optimization
11.6 Text overview
11.7 Introduction to GPT inference
11.8 Introduction to text conversion
11.9 Introduction to text extensions
11.10 Use GPT program interface to create chat robots
11.11 Use GPT program interface to create a food ordering robot
Topic 12: Introduction to Code Interpreter and GPT plug-ins (hands-on classroom exercises)
12.1 ChatGPT Plus membership introduction
12.2 Use Code Interpreter for mathematical calculations
12.3 Use Code Interpreter to generate QR code
12.4 Use Code Interpreter for image processing
12.5 Using Code Interpreter for text recognition
12.6 Use Code Interpreter for data processing and analysis
12.7 Use GPT plug-in to draw statistical analysis icons
12.8 Solving equations using the GPT plug-in
12.9 Use GPT plug-in for chemical calculations
12.10 Use GPT plug-in for physical calculations
12.11 Use GPT plug-in for inference calculations
12.12 Use GPT plug-in for paper Q&A
12.13 Search papers using GPT plug-in
12.14 Use GPT plug-in to write papers
Topic 13 Drawing Tool DALL-E2 and Midjourney Application
13.1 Introduction to AI drawing principles
13.2 Introduction to Vincentian diagrams and Tusen diagrams
13.3 Introduction to CLIP model and diffusion model
13.4 Introduction to drawing tool DALL-E2
13.5 (Class Hands-on Exercise) Use DALL-E2 to draw the first picture
13.6 Midjourney tool introduction
13.7 Midjourney improves resolution and image fine-tuning
13.8 Midjourney sets up a private server
13.9 Midjourney’s prompt word reference
13.10 (Class Hands-on Exercise) Introduction to remix mode
13.11 (Class Hands-on Exercise) Introduction to the blend command
13.12 (Hands-on classroom exercise) Introduction to describe command
13.13 (Classroom hands-on exercise) Picture-generating picture generates new pictures from pictures
13.14 (Class Hands-on Exercise) Introduction to Midjourney’s parameters and settings
13.15 (Hands-on classroom exercise) Using chatgpt to generate prompt words for images
13.16 (Class Hands-on Exercise) Generate high-quality images by combining parameter settings
13.17 (Hands-on classroom exercises) Introduction to Midjourney scientific research drawing
Topic 14: Basic Application of Drawing Tool Stable Diffusion
14.1 Introduction to Stable Diffusion Tool
14.2 Introduction to different models of Stable Diffusion
14.3 Introduction to Stable Diffusion environment deployment
14.4 Introduction to common prompt words for Stable Diffusion
14.5 Introduction to Stable Diffusion work interface
14.6 (Hands-on classroom exercise) Generating pictures from text
14.7 (Hands-on classroom exercise) Generating pictures from pictures
14.8 (Hands-on classroom exercise) Reverse prompt words through pictures
14.9 (Hands-on classroom exercise) Grammar and weighting of prompt words
14.10 (Hands-on exercises in class) Generate new pictures by imitating other people’s high-quality pictures
14.11 (Class Hands-on Exercise) Intelligent Image Amplification Algorithm
14.12 (Hands-on classroom exercise) Animation of real-life images
14.13 (Hands-on classroom exercise) Turn anime characters into real people
Topic 15 Drawing Tools Stable Diffusion Advanced Application
15.1 Download and deployment of Lora model
15.2 (Hands-on classroom exercise) Use the Lora model to generate realistic character images
15.3 (Hands-on classroom exercise) Use the Lora model to generate two-dimensional character images
15.4 (Hands-on classroom exercise) Use the Lora model to generate ink-style images
15.5 (Class Hands-on Exercise) Use Inpainting to perform partial redrawing of images
15.6 Introduction to the plug-in system of Stable Diffusion
15.7 Controlnet plug-in introduction
15.8 Display of different model effects in Controlnet
15.9 (Hands-on classroom exercise) Use line drawings to generate decoration and architecture
15.10 (Hands-on classroom exercise) Use line drawings to color pictures
15.11 (Hands-on classroom exercise) Generating images of people in specific poses
Original link: GPT leads the cutting edge and application breakthroughs of GPT4 scientific research practice technology and AI drawing