🚩 Generative AI: #1: What is Generative AI and How Does it Work?
As artificial intelligence continues to evolve, one subfield that has gained significant attention in recent years is generative AI.
➡️ But what exactly is generative AI?
At its core, generative AI refers to a set of machine learning techniques that enable computers to generate new data based on existing input. This type of AI can be used to create anything from images and music to text and even 3D models.
➡️ So how does generative AI actually work?
Essentially, these systems use large datasets as input to learn patterns and create new output.
An image generation model might analyze thousands of pictures of flowers to learn common features such as petal shape, color, and texture.
Once the model has learned these patterns, it can generate entirely new images that resemble real flowers but are not exact copies of any single image.
➡️ Where can Generative AI be applied?
Example: Improved Customer Service:
Generative AI can be used to create personalized content for individual customers by generating different versions of an email or social media post based on data about each customer’s interests and preferences.
For example, a company might use generative AI to create different product recommendations or calls-to-action depending on what the model has learned about that particular customer.
Generative AI represents an exciting area of development within the broader field of artificial intelligence. By enabling machines to create entirely new content based on existing data inputs, this technology holds great promise for a wide range of industries and applications.
source