Description
AI Workshop course: Generating text into an image. In a world full of noise and concern about images generated by artificial intelligence, it is important to understand how these images work. In this workshop, Jonathan Fernandez, an expert in generative artificial intelligence and large language models, details the key components of generating images from text. These components include text encoders, neural networks, and autoencoders.
Jonathan Fernandez teaches you how to fine-tune models based on your data set, as well as compare different popular models. It compares different models and helps to understand performance criteria, possible biases, limitations and problems in the field.
What will you learn
- Deep understanding of how generating images from text works.
- An introduction to the major components of this process, including text encoders, neural networks, and autoencoders.
- How to Fine-Tune Models Based on Your Dataset
- Comparison of various popular models for generating images from text
- Understanding performance criteria, possible biases, limitations and challenges in the field.
This course is suitable for people who
- They are interested in artificial intelligence and deep learning.
- They want to understand how to create images from text.
- Want to learn how to fine-tune image-from-text generation models based on their datasets.
- They intend to compare different models for generating images from text.
- Interested in learning about performance metrics, potential biases, limitations, and challenges in the field?