Welcome to a rapid introduction to Generative AI! In just 5 minutes, you’ll gain a foundational understanding of what Generative AI is and how it works. Let’s dive in!
1. What is Generative AI?
Generative AI refers to artificial intelligence systems that can generate new content, from text to images, based on their training data. Unlike traditional AI that only analyzes or processes data, Generative AI can create entirely new, original outputs.
2. Key Concepts
- Machine Learning Models: The backbone of Generative AI. These models are trained on large datasets to understand patterns and generate new content.
- Neural Networks: These are the architecture of the models, inspired by the human brain, enabling the AI to ‘learn’ from data.
- Training Data: The data used to ‘teach’ the AI model. The quality and quantity of this data significantly impact the AI’s performance.
3. How Does it Work?
- Training Phase: The model is fed large amounts of data (like texts, images, etc.) and learns patterns and features from this data.
- Generation Phase: Once trained, the model can then generate new content by mimicking the patterns…
