Albert discusses the mechanics of autoregressive language modeling, emphasizing the importance of the KV cache in storing previous context for predicting the next word. While this method is essential for certain applications, it can be inefficient due to the need to retain all previous data. He highlights the evolution of post-transformer architectures, which aim to maintain the strengths of transformers while improving efficiency through compressed representations of past states.
