Computer Science / Generative AI

Generative AI Concepts

Brought by: DataCamp

Overview

Discover how to begin responsibly leveraging generative AI. Learn how generative AI models are developed and how they will impact society moving forward.

Artificial Intelligence (AI) is reshaping our world like never before. Generative AI is a type of AI that can create new content from text, images, and more. In this no-coding course, you'll learn about the exciting concepts in this emerging field and how to prepare for a future where AI becomes widely adopted. You'll start by comprehending how these models create content, where they fit into the machine learning landscape, and how they are developed. Given the power of generative AI, you will also consider how laws and ethics play with these models, learning how to avoid bias and use generative AI responsibly. Finally, you’ll look at the future of generative AI and how we can leverage and collaborate effectively with these tools. After this course, you, too, will be able to unlock the creative capabilities of generative AI. Let's go!

Syllabus

Introduction to Generative AI
-Familiarize yourself with the concept of generative AI and its ability to create content is introduced, along with its real-world applications and limitations. You'll delve into the differences between traditional machine learning models, generative AI, and artificial general intelligence (AGI), and explore the key factors driving the development of generative AI.

Developing Generative AI Models
-In this chapter, we cover the essential steps in creating generative AI models: research and design, data collection, model training, and evaluation. We examine the significance of diverse datasets and advanced training techniques, as well as various evaluation methods, while discussing their strengths and limitations.

Using AI Models and Generated Content Responsibly
-This chapter focuses on the responsible use of generative AI. We discuss the challenges and strategies to mitigate social bias, intellectual property and privacy issues, and ethical considerations to prevent misuse. We conclude by exploring the immense potential and risks of Artificial Generative Intelligence (AGI), along with the approaches to control its outcomes.

Getting Ready for the Age of Generative AI
-Chapter 4 examines the potential, impact, and integration of generative AI into human workflows. It discusses key contributors to AI development, from universities to companies, and explores societal adaptations to AI. It delves into AI's implications for productivity, job dynamics, education, media, entertainment, scientific advancements, and ethical considerations.

Taught by

Daniel Tedesco

Computer Science / Generative AI
Generative AI Concepts
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Generative AI Concepts

Brought by: DataCamp

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