Training AI

AI models are trained on massive datasets of text, art, video, audio, and more. They "learn" rules for interpreting input and generating output through analyzing training data patterns, making guesses, and making corrections under human supervision. Through this process, they improve in their ability to generate "correct" responses.

Important points:

• AI models do not "create" content. Instead, they predict language, art components, etc. based on learned patterns.

• AI companies are usually not transparent about their training data. Their use of copyrighted material without creator permission may violate ethical and legal standards.

Additional Resources:

• The Technology Behind ChatGPT (tutorial) by the University of Arizona Libraries
• Generative AI Exists Because of the Transformer by Financial Times
• Helpful visual representation of how transformers work
• The Surprising Power of Next Word Prediction: Large Language Models Explained (blog series) by CSET