Is It Generative AI or Not?

1. Is It Generative AI or Not?

so what if someone challenges you to a game of is it gen or not I've got your back this illustration shows a good way to distinguish between what is Gen and what is not it is not gen when the output or Y or label is a number or a class for example spam or not spam or a probability it is Gen when the output is natural language like speech or text audio or an image like Fred from before for example let's get a little mathy to really show the difference visualizing this mathematically would look like this if you haven't seen this for a while the yals F ofx equation calculates the dependent output of a process given different inputs the y stands for the the model output the F embodies a function used in the calculation or model and the X represents the input or inputs used for the formula as a reminder inputs are the data like comma separated value files text files audio files or image files like Fred so the model output is a function of all the inputs if the Y is a number like predicted sales it is not generative AI I if Y is a sentence like Define sales it is generative as the question would elicit a text response the response will be based on all the massive large data the model was already trained on so the traditional ml supervised learning process takes training code and label data to build a model depending on the use case or problem the model can give you a prediction classify something or cluster something now now let's check out how much more robust the generative AI process is in comparison the generative AI process can take training code labeled data and unlabeled data of all data types and build a foundation model the foundation model can then generate new content it can generate text code images audio video and more we've come a long way from traditional programming to neural networks to generative models in traditional programming we used to have to hardcode the rules for distinguishing a cat type animal legs four ears two fur yes likes yarn catnip dislikes Fred in the wave of neural networks we could give the networks pictures of cats and dogs and ask is this a cat and it would predict a cat or not a cat what's really cool is that in the generative wave we as users can generate our own content whether it be text images audio video or more for example models like Gemini Google's multimodal AI model or Lambda language model for dialogue applications ingest very very large data from multiple sources across the internet and build Foundation language models we can use simply by asking a question whether typing it into a prompt or verbally talking into the prompt itself so when you ask it what's a cat it can give you everything it's learned about a cat

2. Let's practice!

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