Week 2 - Tokens & Embeddings revisted

Gain a broad understanding of how language models have evolved, from early methods like n-grams to advanced transformer architectures.
Understand the significance and limitations of word embeddings and recurrent neural networks, including LSTMs.

Watch the last ten minutes of this Stanford lecture on Attention
Watch the first 25 Minutes of this Stanford lecture on Attention
Watch all 4 Videos of the Rasa Attention Series
Complete the Notebook and play around with different embeddings
- The linked Repo contains the notebook as well as two exemplary vector stores to play around with
Optional: Watch this Stanford lecture on Transformers

Last updated 6 months ago