Book Image

AI & Data Literacy

By : Bill Schmarzo
5 (1)
Book Image

AI & Data Literacy

5 (1)
By: Bill Schmarzo

Overview of this book

AI is undoubtedly a game-changing tool with immense potential to improve human life. This book aims to empower you as a Citizen of Data Science, covering the privacy, ethics, and theoretical concepts you’ll need to exploit to thrive amid the current and future developments in the AI landscape. We'll explore AI's inner workings, user intent, and the critical role of the AI utility function while also briefly touching on statistics and prediction to build decision models that leverage AI and data for highly informed, more accurate, and less risky decisions. Additionally, we'll discuss how organizations of all sizes can leverage AI and data to engineer or create value. We'll establish why economies of learning are more powerful than the economies of scale in a digital-centric world. Ethics and personal/organizational empowerment in the context of AI will also be addressed. Lastly, we'll delve into ChatGPT and the role of Large Language Models (LLMs), preparing you for the growing importance of Generative AI. By the end of the book, you'll have a deeper understanding of AI and how best to leverage it and thrive alongside it.
Table of Contents (14 chapters)
12
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13
Index

What are ChatGPT and Generative AI?

Generative AI is an artificial intelligence system that relies on unsupervised or semi-supervised learning algorithms to create new original digital content (e.g., articles, program code, poetry, photographs, artwork, and music) by learning from existing data or content.ChatGPT (Generative Pre-trained Transformer) is a Generative AI chatbot launched by OpenAI in November 2022. It is built on OpenAI's GPT-3.5 family of Large Language Models (LLMs) and fine-tuned with supervised and reinforcement learning techniques.ChatGPT uses supervised learning to train its LLM. The supervised learning model uses the labeled data gleaned from websites and digital books to identify statistical language patterns buried in the massive data sets to train a LLM. The LLM then leverages these statistical language patterns and Natural Language Processing (NLP) to generate human-like responses.ChatGPT also uses Reinforcement Learning from Human Feedback (RLHF) to continue...