Description

What is Generative AI? This course is a comprehensive introduction to the fundamental concepts and principles of generative AI and its key differences from traditional AI. By processing vast amounts of data, AI systems are able to identify complex patterns and relationships. Generative AI uses this ability to learn to create new and original content, including text, images, and code, which is its main and creative differentiator. The course instructor, Keith Harwood, is a member of the New York Times Research and Development team who works on integrating large-scale language models into the media’s reporting and products. He received his master’s degree in computer science from Columbia University and, in addition to teaching introductory AI courses at The Coding School, has focused his professional expertise and focus on the areas of natural language processing and ethical AI.

What you will learn

• Differences between Traditional and Generative AI: In this course, participants will learn how to explain the differences between traditional AI and generative AI.
• Image Production Models: Participants will be introduced to image production models.
• Large Language Models: This course looks at large language models and explains how they work.
• Applications and Tools of Generative AI: Participants will identify various applications and tools of Generative AI.
• Limitations of Generative AI Models: This course will address the limitations of generative AI models.

This course is suitable for people who:

• Those interested in understanding AI further: Anyone looking to deepen their understanding of AI.
• AI Content Creators: People who want to create and produce using AI.

Course Description What is Generative AI?

• Publisher: Oreilly
• Instructor: Kate Harwood
• Training level: Beginner
• Training duration: 1 hour and 14 minutes

Course topics

Course images

Sample course video

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Download file – 206 MB

File(s) password: www.downloadly.ir

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206 MB