Generative AI- a revolutionary creation

What is Generative AI?

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Evolution of Generative AI

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Transformers and Language Models:

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Large Language Models (LLMs)

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How Generative AI Works

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Representing Content

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Neural Networks in Content Generation

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Challenges and Early Issues

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Transformative Potential

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Generative AI- a revolutionary creation

What is Generative AI?

It is a technology that produces content, including text, images, audio, and synthetic data.

Evolution of Generative AI

It was created during 1960s, but in 2014 Generative Adversarial Networks (GANs) made it significant.

Transformers and Language Models:

It allows larger model training, better text understanding, and analysing connections between data.

Large Language Models (LLMs)

LLMs of generative AI can write text, generate images, and even create sitcoms.

How Generative AI Works

A prompt including text, image, video, or other input must be given to get desired content.

Representing Content

It combines various algorithms to represent content including natural language processing.

Neural Networks in Content Generation

Neural networks like GANs and variational autoencoders are used for content generation

Challenges and Early Issues

Its generated data lacks accuracy, are biased, and have unusual response problems.

Transformative Potential

It will help in coding, design, product development, and supply chain transformation.