Лекция 3. Embeddings and Large Language Models (LLMs)

  1. 00:15Revision of the Previous Lecture. Course Plan
  2. 09:00Topic and Plan of the Lecture
  3. 11:12Latent Semantic Analysis and Embeddings
  4. 18:27Vectorization Techniques: BOW and TF-IDF
  5. 40:30First Language Models: Word2vec, GloVe and FastText
  6. 55:20Word Sketch of SkeLL by Sketch Engine
  7. 57:54Conclusion