Generative AI is revolutionizing the way we create content, from images and videos to poetry and computer code. But have you ever wondered how it works? Let's dive into the four types of generative AI that are transforming our world.
Large Language Models (LLMs)
LLMs are the foundation of breakthrough generative AI tools like ChatGPT, Claude, and Google Gemini. They're neural networks trained on vast amounts of text data, learning the relationships between words and predicting the next word in a sequence. They can be fine-tuned for specific tasks and domains, making them incredibly versatile.
Tokenization and Matrix Transformation
But how do LLMs process language? They break down words into "tokens" - small words, parts of words, or combinations of linguistic elements. These tokens are then converted into numerical data using matrix transformation, making them computer-friendly.
The Four Types of Generative AI
- Large Language Models (LLMs): Generate human-like text, from chatbots to articles.
- Generative Adversarial Networks (GANs): Create realistic images and videos.
- Transformer Models: Process and generate sequential data, like music and code.
- Neural Style Transfer: Merge styles and create new, unique images.
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