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Applied Generative AI Instructor Guide

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Applied Generative AI Instructor Guide

By: Kevin O'Neill
Narrated by: Virtual Voice
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Applied Generative AI is an area which encompasses creating original and innovative content. This includes integrating technical expertise with management insights, ethical considerations, and human based factors. In this instructor guide, each section provides core and key topical information of value to discuss with example generative prompts which can then be utilized.

Table of Contents:
Using Instructor Guide
Using Generative AI
History and Evolution of AI
Introduction to LLMs
Understanding LLM Architecture: From Words to Meaning
AI Today and in the Future
Democratization of Data & AI: The Neural Network Revolution
LLMs: What Can They Do and How Do They Work?
Predicting the Future: Neural Networks
Autoencoders, Latent Spaces & Embedding Spaces
LLMOps (Large Language Model Operations)
An Introduction to AI and Ethics
Cultivating an AI-Ready Culture
Speed of Applied Generative AI Learning
Building on LLMs and the Future of Jobs
The AI-Enabled Economy
Conclusion:
About the Author:
Notes: Programming & Software Development Data Science Machine Learning
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