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Generative Python Transformer p.1 - Acquiring Raw Data
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Generative Python Transformer p.2 - Raw Data Cleaning
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Generative Python Transformer p.3 - Preprocessing Dataset
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Generative Python Transformer p.4 - Tokenizing
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Generative Python Transformer p.5 - Training and some testing of GPT-2 model
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Generative Python Transformer p.6 - Testing larger model
Description:
Learn to create a Generative Python Transformer (GPT) model in this comprehensive 3-hour 30-minute tutorial. Explore the entire process from acquiring raw data to testing a larger model. Begin with data acquisition techniques, then move on to cleaning and preprocessing the dataset. Master tokenization methods before diving into training and testing a GPT-2 model. Finally, gain hands-on experience in scaling up to a larger model for improved performance.

Generating Python Code with GPT

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#Computer Science #Artificial Intelligence #Natural Language Processing (NLP) #LLM (Large Language Model) #ChatGPT #Data Science #Data Preprocessing
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Generative Python Transformer p.1 - Acquiring Raw Data