Basic concepts on AIGC

About the course materials
General Course Format and Strategies
Introduction
Foundations for AIGC
- Computers and content generation
- A brief introduction to AI
Generative AI
- Introduction to Generative AI
  - Going deeper into Generative AI models
Deep Neural Networks and content generation
Current image generation techniques
- GANs
Current text generation techniques
- Basic concepts in NLP in Large Language Models (LLMs)
- How chatGPT works
Prompt engineering
- Prompts for LLM
- Prompts for image generators
Current AI generative tools
Use cases
Final topics
Glossary
- Glossary of terms
References
- Main references
- Additional material

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Last updated 1 year ago

How does GPT obtain its ability?

How does GPT Obtain its Ability? Tracing Emergent Abilities of Language Models to their SourcesYao's Notion on Notion