Where Generative AI Fits in the AI and ML Landscape
1. Where Generative AI Fits in the AI and ML Landscape
Hi, and welcome to “Introduction to Generative AI”. Don't know what that is? Then you're in the perfect place. I'm Roger Martinez and I am a Developer Relations Engineer at Google Cloud and it's my job to help developers learn to use Google Cloud. In this course, I'll teach you 4 things. How to define generative AI, Explain how generative AI works, Describe generative AI model types, Describe generative AI applications. But let's not get swept away with all that yet. Let's start by defining what generative AI is first. Generative AI has become a buzzword, but what is it? Generative AI is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio, and synthetic data. But, what is artificial intelligence? Since we are going to explore Generative Artificial Intelligence, let’s provide a bit of context. Two very common questions asked are: What is artificial intelligence, and what is the difference between AI and machine learning? Let's get into it. So one way to think about it is that AI is a discipline, like how physics is a discipline of science. AI is a branch of computer science that deals with the creation of intelligent agents, and are systems that can reason, learn, and act autonomously. Are you with me so far? Essentially, AI has to do with the theory and methods to build machines that think and act like humans. Pretty simple right? Now let's talk about machine learning. Machine learning, is a subfield of AI. It is a program or system that trains a model from input data. The trained model can make useful predictions from new (never-before-seen) data drawn from the same one used to train the model. This means that machine learning gives the computer the ability to learn without explicit programming.2. Let's practice!
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