Generative AI

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Generative AI is a subset of Deep Learning.

Deep Learning
Deep Learning uses Artificial Neural Networks - Allowing them to process more complex patterns than traditional machine learning. 


Deep learning model Types:


Discriminative:
* Used to classify or predict
* Typically trained on a dataset of labeled data.
* Learn the relationship between the features of the data points and the labels.


Generative:
* Generates new data that is similar to data it was trained on.
* Understands distribution of the data and how likely given the example is.
* Predict the next word in sequence.


What is GenAI?
* GenAI is a type of AI that creates new content based on what it has learned from existing content.
* The process of learning from existing content is called training and results in the creation of a statistical model.
* When given a prompt, GenAI uses this statistical model to predict what an expected response might be and this generates new content.

Generative Models:
* Generative language models - learn about the patterns in language through the training data. Then given some text, they predict what comes next.
* Generative image models - produce new images using techniques like diffusion.


Here are some examples of how generative AI is being used for content creation today:


BuzzFeed: BuzzFeed is using generative AI to generate personalized quizzes and articles for its readers.

The Associated Press: The Associated Press is using generative AI to generate news stories and financial reports.

Shutterstock: Shutterstock is using generative AI to generate stock photos and videos.

Spotify: Spotify is using generative AI to generate personalized playlists and recommendations for its users.



Generative AI is still under development, but it has the potential to revolutionize the way we create and consume content. As it becomes more sophisticated and affordable, we can expect to see it used in even more creative and innovative ways.


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