What is GenAI? – Maha Data

GenAI, short for Generative Artificial Intelligence, is a type of AI that creates new content like text, images, code, and music, based on patterns learned from vast datasets.

Here’s a more detailed explanation:

What it does: GenAI models learn from existing data and then generate new content that mimics the patterns and structures of that data.
How it works: These models, often based on large language models (LLMs), analyze and understand the structure of the data they are trained on, enabling them to generate novel content.
Examples of GenAI:
- Text generation: Writing articles, poems, or code.
- Image generation: Creating realistic or artistic images from text prompts.
- Music generation: Composing new musical pieces.
Applications: GenAI is being used across various industries to boost creativity, drive efficiency, improve experiences, and generate insights.
Examples of GenAI tools: ChatGPT, DALL-E, and Midjourney
Ethical considerations: GenAI tools raise complex issues around data privacy, copyright, intellectual property, and ethics.
Potential risks: GenAI outputs may appear original but are just various combinations of its training data, and may also make factual errors or invent statements that are untrue.
Example of a GenAI application: Grammarly uses generative AI for some of its features.

Source: Generated from Google search