Understanding Context Learning

Daniel and Sewon discuss the ongoing debate surrounding the relationship between context learning and gradient updates. While some papers argue that they are very different, others suggest that they are equivalent to fine-tuning. The conversation highlights the different views and ongoing debates in this exciting area of research.