CM3- A Causal Masked Multimodal Model of the Internet
Explore a comprehensive video featuring a paper explanation and in-depth interview with first author Armen Aghajanyan on CM3: A Causal Masked Multimodal Model of the Internet. Delve into the innovative approach of using HTML structure for machine learning, including text, hyperlinks, and images. Learn about the new Causally Masked Language Modelling training strategy and its implications for autoregressive language models. Discover how CM3 addresses limitations in current models and enables various applications such as text generation, captioning, image creation, and entity linking. Gain insights into the training process of large-scale models, dataset collection, content filtering, and experimental results. Understand the potential impact of CM3 on the future of universal models in artificial intelligence.