LinkedIn – AI Workshop: Text-to-Image Generation 2024-5

AI Workshop course: Text-to-Image Generation. In a world full of noise and concern about images produced by artificial intelligence, it is essential to understand how these images work. In this workshop, Jonathan Fernandez, an expert in generative artificial intelligence and large language models, details the main components of image generation from text. These components include text encoders, neural networks, and autoencoders.

Jonathan Fernandez teaches how to fine-tune models based on his data set, as well as how to compare different popular models. He compares different models and helps to understand the performance criteria, possible biases, limitations and challenges in this field.

What you will learn

• A deep understanding of how image generation works from text
• Getting to know the main components of this process, including text encoders, neural networks and automatic encoders
• How to fine-tune models based on your data set
• Comparison of different popular models of image generation from text
• Understanding the performance criteria, possible biases, limitations and challenges in this field

This course is suitable for people who

• They are interested in artificial intelligence and deep learning
• They want to understand how to produce images from text
• Looking to learn how to fine-tune image generation models from text based on their datasets
• They intend to compare different models of image generation from text
• Want to learn about performance metrics, potential biases, limitations, and challenges in this field