GloVe
Software / App
A word embedding algorithm from Manning's group that simplified the learning of word vector representations.
Mentioned in 4 videos
Save the 4 videos on GloVe to your own pod.
Sign up free to keep building your knowledge base on GloVe as more episodes are added.
Videos Mentioning GloVe
Breaking down the OG GPT Paper by Alec Radford
Latent Space
A word embedding technique developed at Stanford.
Heroes of NLP: Chris Manning
DeepLearningAI
A word embedding algorithm from Manning's group that simplified the learning of word vector representations.
Deep Learning for Natural Language Processing (Richard Socher, Salesforce)
Lex Fridman
Global Vectors for Word Representation, a model introduced by Jeffrey Pennington in 2014 that combines aspects of matrix factorization and local context window methods to efficiently train word vectors.
Moonlake: Multimodal, Interactive, and Efficient World Models — with Fan-yun Sun and Chris Manning
Latent Space
Word embeddings mentioned as a technique that was prominent before the rise of current transformer models.