Introduction to Generative AI Transformer Models in Python

Master Transformer models in Python, learn their architecture, implement NLP applications, and fine-tune models.
3.75 (2 reviews)
Udemy
platform
English
language
Software Engineering
category
Lucas Whitaker
instructor
Introduction to Generative AI Transformer Models in Python
447
students
1.5 hours
content
Jul 2024
last update
$13.99
regular price

What you will learn

Understand the fundamentals of generative AI Transformer models.

Differentiate Transformer models from traditional neural networks.

Recognize key applications of Transformer models in NLP and beyond.

Grasp the architecture of Transformer models, including encoders and decoders.

Implement Transformer models and applications in Python.

Prepare data and train Transformer models effectively.

Evaluate and analyze Transformer model performance.

Build practical applications using transformers like text classification, language translation, and question answering.

Fine-tune pre-trained Transformer models for specific tasks.

Explore advanced models like BERT and GPT for practical use cases.

Course Gallery

Introduction to Generative AI Transformer Models in Python – Screenshot 1
Screenshot 1 – Introduction to Generative AI Transformer Models in Python
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Screenshot 2 – Introduction to Generative AI Transformer Models in Python
Introduction to Generative AI Transformer Models in Python – Screenshot 3
Screenshot 3 – Introduction to Generative AI Transformer Models in Python
Introduction to Generative AI Transformer Models in Python – Screenshot 4
Screenshot 4 – Introduction to Generative AI Transformer Models in Python

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udemy ID
17/06/2024
course created date
12/07/2024
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