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HomeHomework Helpcomputer-scienceGenerative AI Basics

Generative AI Basics

Generative AI refers to algorithms that can create new content, including text, images, and videos, based on learned patterns from existing data. This technology is increasingly utilized in various fields such as marketing, entertainment, and education to enhance creativity and efficiency.

intermediate
3 hours
Computer Science
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Overview

Generative AI is a powerful technology that enables the creation of new content by learning from existing data. It encompasses various techniques, including machine learning and deep learning, to generate text, images, and more. As this technology evolves, it finds applications in diverse fields suc...

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Key Terms

Generative AI
AI that creates new content based on learned patterns.

Example: ChatGPT is a generative AI that can write essays.

Machine Learning
A subset of AI that enables systems to learn from data.

Example: Spam filters use machine learning to identify unwanted emails.

Deep Learning
A type of machine learning that uses neural networks with many layers.

Example: Image recognition systems often use deep learning.

Neural Network
A computational model inspired by the human brain, used in deep learning.

Example: Neural networks can classify images or generate text.

Natural Language Processing (NLP)
A field of AI that focuses on the interaction between computers and human language.

Example: NLP is used in virtual assistants like Siri.

Generative Adversarial Networks (GANs)
A class of AI models that generate new data by pitting two networks against each other.

Example: GANs can create realistic images of people who don't exist.

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Data Science
Focuses on extracting insights from data using statistical and computational methods.
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Computer Vision
A field of AI that enables computers to interpret and understand visual information.
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Key Concepts

Machine LearningNatural Language ProcessingDeep LearningContent Generation