Language Models and Learning
Christopher and Daniel discuss the power of language models trained through self-supervision, highlighting how these models learn about the grammar of languages and the world. They explore the effectiveness of enormous language models in various NLP tasks, surpassing hand-built models. Daniel also explores the potential integration of linguistics knowledge into attention-based architectures.In this clip
From this podcast
The Gradient
Christopher Manning: Linguistics and the Development of NLP
Related Questions
What is the role of large models in predicting the next word in language tasks as discussed in the episode Ilya Sutskever: Deep Learning | Lex Fridman Podcast #94 and the clip History of Neural Networks in Language?
What are some applications of language models?
Tell me something unique about large language models