Yi Tay discusses the shift from encoder models like BERT to a new era of large language models (LLMs), explaining technical nuances like Encoder-Decoders, PrefixLM architectures, and Denoising objectives. He presents insights on why BERT-style models are deprecated, how models like T5 offer more flexibility, and the role of denoising objectives in complementing causal language modeling (CLM).