Use of Generative AI Tools @UOWCHK - University of Wollongong

Welcome to our website dedicated to helping freshmen adopt generative AI! Our goal is to provide you with the knowledge, resources, and tools you need to get started with this exciting field.

Generative AI is a rapidly growing area of artificial intelligence that focuses on creating new content, such as images, text, and music, using machine learning algorithms. It has the potential to revolutionize many industries, from art and entertainment to healthcare and transportation.

On our website, you’ll find an overview of what generative AI is and its applications, a guide for getting started, tips and tricks for prompt engineering, a collection of learning resources, and a showcase of tools and software that can be used for working with generative AI.

We hope that our website will be a valuable resource for you as you begin your journey with generative AI. If you have any questions or feedback, please don’t hesitate to contact us. We’re here to help!

1. What is Generative AI and how it can help Learning?:
2. How to use them effectively using Prompt Engineering:
3. What are the best practices and Tips for using these Tools:
4. Ethics and Responsibility in Generative AI

An overview of what generative AI is, its history, and its applications.

Video:

Introduction to Generative AI (https://youtu.be/G2fqAlgmoPo): This video by Google Cloud Tech gives an overview of Generative AI and demonstrates how to use the tool.
What is Generative AI | Introduction to Generative AI | Generative AI Explained | Simplilearn: This video by Simplilearn explains what generative AI is, how it works, and its applications and use cases.
What Is Generative AI | Generative AI Explained | Introduction to Generative AI | Intellipaat: This video by Intellipaat delves into the realm of generative AI, unraveling the secrets behind this groundbreaking technology.

Articles:

Gartnerhas an article that answers the top generative AI questions for enterprises, including what it is, how it works, and its applications and use cases.
Harvard Business Reviewhas an article on how generative AI is changing creative work, including its impacts on marketing, software, design, entertainment, and interpersonal communications.
McKinseyhas an article that explains what generative AI is and how it differs from traditional machine learning methods.

MOOCs:

Courseraoffers an “Introduction to Generative AI” course that covers the fundamentals of generative AI and how it differs from traditional machine learning methods.
MOOC List has a list of MOOCs related to generative AI, including courses on Generative AI Studio, ChatGPT API, and DALL-E.
Udemyoffers a course on “Generative AI - From Big Picture, to Idea, to Implementation” that focuses on proper concept implementation and relevant code.

A section dedicated to the art of prompt engineering, with tips, tricks, and best practices for creating effective prompts for generative AI models.

Videos:

Prompt Engineering Overview: This video by Elvis Saravia gives an overview of prompt engineering and covers the latest techniques, tools, and applications.
Prompt Engineering 101 - Crash Course & Tips: This video by AssemblyAI is a beginner crash course on prompt engineering and provides tips for getting the best results when working with Large Language Models.
Introduction to Prompt Engineering: This video by ChatGPT Tutorials is an introduction to Prompt Engineering and shows how to create your first automated workflow.

Articles:

AI Prompt Engineering Isn’t the Future: This article by Harvard Business Review discusses the future of prompt engineering and its potential impact on the generative AI world.
Prompt Engineering with ChatGPT: A Guide for Academic Writers: This article by SpringerLink highlights the significance of prompt engineering for academic writers and researchers and discusses the concepts, techniques, and pitfalls of writing prompts.
Introduction to Prompt Engineering: Key Concepts & Use Cases: This article by MLQ.ai discusses key concepts and use cases of prompt engineering.

MOOCs:

Complete Prompt Engineering Course | No Coding Experience: This course by PromptEngineering.org provides a strong understanding of the core concepts and methodologies of prompt engineering that are applicable to any Large Language Model (LLM).
Prompt Engineering+: Master Speaking To AI (2023): This course by Udemy explores advanced concepts such as one-shot, few-shot, and zero-shot learning and their applications in prompt engineering.
Prompt Engineering for ChatGPT: This course by Coursera teaches how to apply prompt engineering to effectively work with large language models like ChatGPT and how to use prompt patterns to tap into their powerful capabilities.

A section featuring tools and software that can be used for working with generative AI, including links to download or access them.

Forbes has a list of free tools that use generative AI to increase student productivity:

Generative AI Tools

Microsoft Bing
POE https://poe.com/
Perplexity https://www.perplexity.ai/
Google Bard https://bard.google.com/

Paraphrasing Tools

Grammarly https://app.grammarly.com/
Quillbot https://quillbot.com/

Proofreading and Plagiarism Tool

Scribbr https://www.scribbr.com/

Video and Graphics Generation Tool

Lumen 5 https://lumen5.com/
Microsoft Designer https://designer.microsoft.com/
Adobe Generative AI for creatives: https://www.adobe.com/sensei/generative-ai/firefly.html

A Collection of AI Tools

Future Tools https://www.futuretools.io/
Futurepedia - Find The Best AI Tools & Software https://www.futurepedia.io/

This title encompasses the topics of ethics and responsibility in the use of generative AI, including issues such as plagiarism and the responsible use of this technology.

Here are some online resources that you can use to learn more about ethics and responsibility in generative AI:

Videos:

Responsible Innovation in the Age of Generative AI: This video by Adobe discusses the importance of responsible innovation in the age of generative AI and the need for transparency, trust, and respect for creators’ choice and control.

Articles:

Managing the Risks of Generative AI: This article by Harvard Business Review discusses the risks associated with generative AI and the need for organizations to prioritize responsible use.

MOOCs:

Ethics of Artificial Intelligence: This course by Coursera covers the ethical and social impacts and implications of AI, including critical skills for analyzing AI in different domains of life.
Data Ethics, AI and Responsible Innovation: This course by edX covers relevant concepts such as ethics, responsibility, digital rights, data governance, human-data interaction, and responsible research and innovation.