NLP (Natural Language Processing)

by We Cloud Data Claim Listing

This module teaches SOTA NLP methods and applications. Students will learn about some of the most exciting new developments in modern NLP, such as Transformers and GPT-3.

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Course Details

This module teaches SOTA NLP methods and applications. Students will learn about some of the most exciting new developments in modern NLP, such as Transformers and GPT-3.

 

Learning Outcomes

  • Learn basic text-processing techniques

  • Become familiar with traditional NLP methods such as N-gram, topic modelling, text clustering, and NER

  • Learn word embedding techniques such as skip-gram and word2vec

  • Sequence-to-Sequence models with recurrent neural networks (RNN) and LSTM

  • Apply state-of-the-art (SOTA) attention models, such as BERT transformers for transfer learning

  • Apply generative models such as GPT-3 for text generation and Question-and-answer systems

  • Build a mini-ChatGPT application using GPT-3 and PyTorch

 

Key Skill:

Text Processing, Natural Language Processing, Large Langage Models (LLM), Topic Modeling, Transformers, BERT, GPT-3, Roberta, Text Classification, Sentiment Analysis, and Search Engine

  • Toronto Branch

    433 Yonge St, 2nd Floor, Toronto

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