GloVe
unsupervised learning algorithm for obtaining vector representations of words
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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.
Recursive Self-Improvement: from Auto Research to Superintelligence — Richard Socher, Recursive
Latent Space
An early embedding technique in NLP, co-created by Chris Manning, which Richard Socher worked on.