Vishal Misra: Transformers learn correlations, not causations, the significance of in-context learning, and the role of Bayesian updating in AI
Key Takeaways Transformers primarily learn correlations, not causations, limiting their ability to achieve true intelligence. Achieving AGI requires models that can transition from learning correlations to understanding causations. Large language models generate text by predicting […]
