What is generative Ai

Описание: What is Generative AI?
Generative artificial intelligence (generative AI) is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. It can learn human language, programming languages, art, chemistry, biology, or any complex subject matter. It reuses what it knows to solve new problems. For example, it can learn English vocabulary and create a poem from the words it processes. Your organization can use generative AI for various purposes, like chatbots, media creation, product development, and design.

What is the difference between AI and Generative AI?
Artificial intelligence is the broader concept of making machines more human-like. It includes everything from smart assistants like Alexa, chatbots, and image generators to robotic vacuum cleaners and self-driving cars. Generative AI is a subset that generates new content meaningfully and intelligently.

When was generative AI created?
Generative AI emerged in the late 2010s with advancements in deep learning, particularly with models like Generative Adversarial Networks (GANs) and transformers. Advances in cloud computing have made generative AI commercially viable and available since 2022.

What are foundation models in generative AI?
Foundation models are large generative AI models trained on a broad spectrum of text and image data. They are capable of performing a wide variety of general tasks like answering questions, writing essays, and captioning images.

What are generative AI examples?
Generative AI has several use cases across industries

Financial services
Financial services companies use generative AI tools to serve their customers better while reducing costs: