NLP (Natural Language Processing)

Name: NLP (Natural Language Processing)
Availability: InStock

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

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