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Slides

Lectures

Day 1: Diving into the algorithms

  1. Non-contextual embeddings: Word2Vec, Skip-Gram, GloVe
  2. Building a Transformer Architecture

Day 2: Diving into applications

  1. Intro to the Transformers Library by HuggingFace
  2. Adaptive and Fine-tuning BERT
  3. From Words to Sentence Embedding

Extra

  1. GPT-3 Prompting