Elmo
A language model mentioned as an example of models that benefit from self-labeling data.
What podcasters actually say about Elmo.
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Videos Mentioning Elmo
Breaking down the OG GPT Paper by Alec Radford
Latent Space
A seminal work in NLP related to unsupervised pre-training and good embeddings.
![[Paper Club] BERT: Bidirectional Encoder Representations from Transformers](https://i.ytimg.com/vi/V64q3p7DNjc/maxresdefault.jpg)
[Paper Club] BERT: Bidirectional Encoder Representations from Transformers
Latent Space
An earlier NLP model known for its feature-based approach and contextual word representations, contrasted with BERT's fine-tuning and bidirectional approach. Originally from the Allen Institute and University of Washington.
The End of Finetuning — with Jeremy Howard of Fast.ai
Latent Space
A language model developed around the same time as ULMfit, but with a different approach.
Deep Learning State of the Art (2019)
Lex Fridman
An approach that uses bi-directional LSTMs to learn rich, contextual word representations, significantly improving language modeling capabilities.
Heroes of NLP: Oren Etzioni
DeepLearningAI
A language model mentioned as an example of models that benefit from self-labeling data.
How to Cultivate a Positive, Growth-Oriented Mindset | Dr. Jamil Zaki
Andrew Huberman
A Sesame Street character used as an example of loving and affectionate behavior.
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 1: Overview, Tokenization
Stanford Online
An early language model trained on large text corpora, which could be fine-tuned for downstream tasks.