Basic concepts on AIGC
Ctrlk
  • 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
  • Deep Neural Networks and content generation
  • Current image generation techniques
  • Current text generation techniques
  • Prompt engineering
  • Current AI generative tools
    • Image generation tools
    • Text generation tools
    • Video, 3D, sound, and more
    • Current landscape of cutting-edge AI generative tools
  • Use cases
    • Generating code
    • How to create good prompts for image generation
    • How to generate text of quality
  • Final topics
    • AI art?
    • Is it possible to detect AI generated content?
    • Plagiarism and copyright
    • Ethics and bias
    • AI generative tools and education
    • The potential impact of AI generative tools on the job market
  • Glossary
    • Glossary of terms
  • References
    • Main references
    • Additional material
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  1. References

Additional material

How does GPT obtain its ability?

LogoHow does GPT Obtain its Ability? Tracing Emergent Abilities of Language Models to their Sources | Notionyaofu on Notion
PreviousMain references

Last updated 2 years ago