Statistical Learning Theory and ChatGPT
4 days ago
- #Statistical Learning Theory
- #AI Generalization
- #Machine Learning
- Statistical learning theory provides a mathematical framework for understanding AI generalization.
- Generalization in AI means models approximate underlying data distributions beyond training data.
- Key insights from statistical learning theory include the importance of data volume and inductive bias.
- Models reflect statistical patterns from training data, such as frequency of certain outputs.
- Example: Language models often generate '7' as a random number, mirroring human-written data frequencies.
- Fine-tuned models replicate frequencies seen in training data, like gender distribution in conversations.
- Text-to-image models struggle with negation due to training data lacking negative annotations.
- Statistical learning theory offers valuable insights but has limitations, to be discussed in a follow-up post.