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This course walks through building and testing a GPT-2 model in Python, covering raw-data acquisition and cleaning, dataset preprocessing, tokenization, and training. It also tests a larger model.
Syllabus
Generative Python Transformer p.1 - Acquiring Raw Data.
Generative Python Transformer p.2 - Raw Data Cleaning.
Generative Python Transformer p.3 - Preprocessing Dataset.
Generative Python Transformer p.4 - Tokenizing.
Generative Python Transformer p.5 - Training and some testing of GPT-2 model.
Generative Python Transformer p.6 - Testing larger model.
Taught by
sentdex