Introduction

Artificial intelligence (AI) is “a technical and scientific field devoted to the engineered system that generates outputs such as content, forecasts, recommendations or decisions for a given set of human-defined objectives” [ISO/IEC 22989:2022].

Traditionally, AI systems are primarily used to analyse data and make predictions. It has since evolved in developing machines capable to analyse large amounts of data, recognise patterns, and make predictions or decisions based on the trained data.

To better understand how AI works, it is essential to know the following basic concepts:

1. Machine Learning

Uses data and algorithms to enable machines to imitate the human brain to learn from data, identify patterns, and make decisions and predictions without explicit programming, gradually improving its accuracy and performance.

2. Deep Learning

A type of AI and machine learning that imitates the human brain by utilising millions of data points to gain knowledge.

3. Reasoning

Mimics the human brain to make inferences based on commands to form hypotheses or develop strategies to make predictions or decisions.

4. Problem-solving

Uses trial-and-error techniques to train the machine to learn and improve its performance, aiming to discover the most desirable and optimal solution to complex problems.

5. Processing Language

Uses Natural Language Processing (NLP) to analyse human language data for computers to understand, interpret and generate human language, using text analysis, sentiment analysis and machine translation.

6. Large Language Model (LLM)

Uses deep learning techniques to recognise, understand, summarise, translate, predict, and generate new content using massive datasets. Chatgpt is one example of such a model.

7. Perception/ Computer Vision

Enables devices to acquire, process, interpret, understand, and analyse data in digital images and videos for facial recognition and object detection etc.

Generative Artificial Intelligence, evolving from advancements in AI technology and machine learning, has enabled the creation of new data and content across images, videos, music, articles, and software code. The application of Generative AI significantly impacts work efficiency, yet at the same time raises ethical considerations.

This guide provides an overview of generative AI such as the potential usage of generative AI tools, responsible use of these tools, how to design a prompt, how to evaluate the generated content, and how to cite content created from generative AI.

What is Generative Artificial Intelligence (Gen AI)?

What is Generative Artificial Intelligence?

(Source: Canvas AI Image Generator (ai neural network), 20 May 2024)

Generative Artificial Intelligence (Gen AI) tools are AI chatbots that use humanlike conversational dialogue (natural language) to obtain responses and results through descriptive questions (known as "prompts") in a fluid manner. They generate content in the form of text, data, and multimedia such as images, music, videos, and voices by harnessing AI technology and a vast dataset as its foundation.

Although Generative AI tools can provide answers to queries in texts or create new multimedia content that seems real, they can also produce inaccurate, non-existent, or misleading results, which is known as "hallucinating" when the datasets or the prompts are of poor quality.

It is essential to learn how to craft effective prompts to guide the Generative AI tools to create quality content. It is equally important to learn how to use Generative AI tools and the generated content appropriately, thoughtfully, and responsibly.

Generative AI literacy plays an important role in evaluating and using Generative AI tools.

Generative AI Tools

Generative AI tools have many potential uses in learning, teaching, and research as well as risks.

It is necessary to acquire and evaluate knowledge of AI and its uses, understand its limitations, and the ethical considerations to safeguard the educational experience, intellectual development, respect for intellectual property, and data privacy of the SUSS community and beyond.

Please always check with your instructor, who may have specific requirements for your course in using any generative AI tools, and provide guidance on the appropriate use and citation requirements.

Potential Usage

Analysing data, text, and arguments
Answering questions
Brainstorming ideas
Checking for grammar, spelling and facts
Coaching and explaining
Designing and verifying codes
Conducting a literature review
Creating images and video, music, and voices
Creating lesson plans, lecture notes, and guides
Creating prompt templates
Designing a research project
Detecting AI-generated content
Evaluating writings and providing feedback
Generating hypotheses, questions, and prompts
Presenting slides
Sourcing and compiling information
Writing, summarizing, paraphrasing, and translating, etc.

Responsible Use of AI Tools

SUSS is committed to upholding academic integrity, and any work submitted must be representative of the individual’s own effort, knowledge, and understanding of the subject matter.
Ideas and information taken from other sources, including those derived from the use of Generative AI tools such as ChatGPT, must be appropriately attributed
Inappropriate use of Generative AI tools would violate SUSS's principles of Academic integrity.
When in doubt, please always check with your instructor, who may have specific requirements for your course in using any generative AI tools, and provide guidance on the appropriate use and citation requirements
You can refer to the "Guidance on Responsible Use of Generative AI Tools in Assignments" prepared by the Teaching & Learning Centre and Student Handbook (available in the Student Portal) for details.

(Source: Teaching & Learning Centre, Singapore University of Social Sciences. (2023). Academic Integrity [online]. Available from: https://rise.articulate.com/share/i4wup4aZRMcXCL293kJqgBgfp3UmaQMl#/ [accessed 7 May 2024].)

Data Privacy and Security

Many generative AI tools do not come free, and most of them require registration. The providers of these tools may collect personal information such as IP address and email address and share them with their partners to analyse the user behaviour.
All users of Generative AI within SUSS (including the Institute of Adult Learning) must adhere to data privacy and security protocols, especially when dealing with sensitive or personal data. This includes understanding the data handling practices of the AI tools used. Confidential or sensitive information should be left out of prompts when using Generative AI.
Intellectual property belonging to SUSS shall not be input/uploaded onto the Generative AI tools.

Sources:

1. Singapore University of Social Sciences ("SUSS") Privacy Statement

2. Student Handbook (accessible by SUSS enrolled students through the Student Portal)

3. Generative AI Policy for Teaching and Learning (accessible only by faculty, teaching associates and staff through MySUSS intranet)

[Last accessed 7 May 2024]

Professional Sharing (Teaching & Learning Centre)

You can refer to the professional sharing sessions on generative AI organized by the Teaching & Learning Centre (TLC), SUSS.

TLC has also curated a list of assessment with generative AI resources that focus on the pedagogical impact of AI on assessment practices.

AI-related professional development in teaching and learning workshops organised by TLC can be found on the TLC website.

Do join the "SIG on Generative AI & Learning, Teaching and Assessment" which is a SUSS community of practice to advance pedagogical and assessment practices of generative AI.

Recommended Gen AI Tools

Introduction

The following Generative AI (Gen AI) tools have been curated by the SUSS AI Taskforce using Gartner’s Gen AI Use-Case Prism for Education and evaluation criteria like usefulness for the intended purpose, ease of use, accuracy of the results or outcomes, availability of help resources and its value for money for our SUSS users. (Source: https://www.gartner.com/document/4545299?ref=solrAll&refval=399022927&)

It is important to highlight that Gen AI is fast evolving and new tools are being developed and added quickly. The Learning Technology & Services (LTS) team from the Learning Services Cluster will update this list on a semestral basis (before the start of every semester in Jan and July) to keep the published information up-to-date. This list has made provisions for specific user profiles (i.e., Faculty and Associates, Staff and Students) with the tools grouped under relevant categories to facilitate ease of user access.

Select the Appropriate Target Audience to view the list of Gen AI Tools

Teaching

1. Content Creation

Name	Pitch
URL	https://pitch.com/
Description	Create presentation slides using prompt
Free, Paid or Open Source	Free plan for individual use. Paid version at USD 20 per month for workspace collaboration.

Name	Canva AI Function
URL	https://www.canva.com/ai-image-generator/
Description	AI image generator
Free, Paid or Open Source	Free plan. Paid version at S165 per year.

Name	Adobe Firefly
URL	https://www.adobe.com/sg/products/firefly.html
Description	AI art generator that creates images from text prompts.
Free, Paid or Open Source	Free plan with 25 credits per month. Paid version at USD 4.99 with 100 creits per month

Name	ElevenLabs
URL	https://elevenlabs.io/
Description	AI voice generator and text to speech in 29 languages
Free, Paid or Open Source	Free plan with 10min audio per month. Paid version at USD 1 per month.

Name	Natural Reader
URL	https://www.naturalreaders.com/
Description	Text to speech reader (Assistive Technology)
Free, Paid or Open Source	Free plan with 1 upload per day. Paid version at USD 199 per year for 5 users.

Name	HeyGen
URL	https://www.heygen.com
Description	HeyGen is an AI video generator that allows users to create talking-head avatar videos in minutes.
Free, Paid or Open Source	Paid (USD 24 per month)

Name	Elai
URL	https://www.elai.io
Description	Ai video generator from text (Avatar-based)
Free, Paid or Open Source	Free plan with 1 credit. Paid versio at USD 13 per month with 15 video minutes.

Name	InVideo
URL	https://invideo.io
Description	Video content creation with text prompt
Free, Paid or Open Source	Free plan with 10min per week generation. Paid version at USD20 per month.

Name	AdCreative AI
URL	www.adcreative.ai/
Description	AdCreative.ai is an artificial intelligence (AI) tool that allows users to generate creatives and texts for a range of social, search, and display-based advertising campaigns. asper is the AI platform that helps businesses scale up marketing content like blog articles, social media posts, sales emails, website copy, and more.
Free, Paid or Open Source	Paid (USD 29 per month)

Name	Jasper AI
URL	https://www.jasper.ai/
Description	Jasper is the AI platform that helps businesses scale up marketing content like blog articles, social media posts, sales emails, website copy, and more.
Free, Paid or Open Source

2. Course Design

Name	Teachermatic
URL	https://teachermatic.com
Description	TeacherMatic’s AI generators act like personal assistants for teachers. They make creating classroom materials easy by automatically making things like worksheets, quizzes, and lesson plans. Just tell the app what topic you need, and it does the rest. This way, teachers can save time and spend more of it teaching and connecting with their students.50+ AI tools available.
Free, Paid or Open Source	Free plan with 5 generations per day. 99 pounds per year for 30 generations per day.

Name	Teachers Buddy
URL	https://www.teachersbuddy.com/
Description	40+ tools to genreate Course Scopes, Lesson Plans, Lab Sessions, Slide Outlines, Tutorials, Workshops, etc.
Free, Paid or Open Source	Free plan with only 10 tools. Full 40+ tools at NZ$14.99 monthly

3. Productivity Tools

Name	CoGrader AI Grading Tool
URL	https://cograder.com
Description	CoGrader helps teachers save 80% of the time grading with instant first-pass feedback & grades on students' assignments, based on instructor's rubrics. It seamlessly import students' assignments from Google Classroom, the grade and provide feedback, for instructor's review.
Free, Paid or Open Source	Paid (USD 15 per month)

Name	Github Copilot
URL	https://github.com/features/copilot
Description	GitHub Copilot is a code completion tool developed by GitHub (owned by Microsoft) and OpenAI (49% owned by Microsoft) that assists users of Visual Studio Code, Visual Studio, Neovim, and JetBrainsintegrated development environments (IDEs) by autocompleting code
Free, Paid or Open Source	Free

Research

1. Literature Review

Name	Litmaps
URL	https://www.litmaps.com
Description	Litmaps uses the citation network to discover literature that's easily overlooked with other search methods. This, combined with our ever-evolving algorithms and automated alert system, means never missing a relevant paper again.
Free, Paid or Open Source	Free plan with up to 20 inputs, 100 articles and 1 litmap. Paid version at USD per month with unlimited inputs, articles and litmaps.

Name	Elicit
URL	https://elicit.com
Description	Automate time-consuming research tasks like summarizing papers, extracting data, and synthesizing your findings. It helps to compare and conceptualise key academic content in the same field
Free, Paid or Open Source	Free plan with 5,000 credits on-time. Paid version at USD10 per month with 12,000 credits.

2. Data Analysis

Name	Scite
URL	https://scite.ai/
Description	Scite enhances the research process by analyzing citations in scientific papers,
Free, Paid or Open Source	7 days free trial. USD20.12 per month.

Name	Julius AI
URL	https://julius.ai
Description	Analyze data with computational AI. Chat with user's files and get expert-level insights in seconds.
Free, Paid or Open Source	Free plan with up to fifteen monthly messages. Paid version at USD17.99 per month.

3. Publication Assistance

Name	Jenni.AI
URL	https://jenni.ai
Description	Jenni Ai is a very reliable AI tool that can help you improve your writing skills, research papers and in-text citations.
Free, Paid or Open Source	Free plan with 200 AI words per day and unlimited PDF uploads. Paid version at USD 20 per month with unlimited AI words.

Name	Humanta
URL	https://www.humata.ai
Description	Humata thoroughly reads each uploaded file, generating responses based on the document content. Each answer provided by Humata references relevant sections within your uploaded documents.
Free, Paid or Open Source	Free limited tier; multiple paid subscription tiers

1. Content Creation

Name	Pitch
URL	https://pitch.com/
Description	Create presentation slides using prompt
Free, Paid or Open Source	Free plan for individual use. Paid version at USD 20 per month for workspace collaboration.

Name	Canva AI Function
URL	https://www.canva.com/ai-image-generator/
Description	AI image generator
Free, Paid or Open Source	Free plan. Paid version at S165 per year.

Name	Adobe Firefly
URL	https://www.adobe.com/sg/products/firefly.html
Description	AI art generator that creates images from text prompts.
Free, Paid or Open Source	Free plan with 25 credits per month. Paid version at USD 4.99 with 100 creits per month

Name	ElevenLabs
URL	https://elevenlabs.io/
Description	AI voice generator and text to speech in 29 languages
Free, Paid or Open Source	Free plan with 10min audio per month. Paid version at USD 1 per month.

Name	Natural Reader
URL	https://www.naturalreaders.com/
Description	Text to speech reader (Assistive Technology)
Free, Paid or Open Source	Free plan with 1 upload per day. Paid version at USD 199 per year for 5 users.

Name	HeyGen
URL	https://www.heygen.com
Description	HeyGen is an AI video generator that allows users to create talking-head avatar videos in minutes.
Free, Paid or Open Source	Paid (USD 24 per month)

Name	Elai
URL	https://www.elai.io
Description	Ai video generator from text (Avatar-based)
Free, Paid or Open Source	Free plan with 1 credit. Paid versio at USD 13 per month with 15 video minutes.

Name	InVideo
URL	https://invideo.io
Description	Video content creation with text prompt
Free, Paid or Open Source	Free plan with 10min per week generation. Paid version at USD20 per month.

Name	AdCreative AI
URL	www.adcreative.ai/
Description	AdCreative.ai is an artificial intelligence (AI) tool that allows users to generate creatives and texts for a range of social, search, and display-based advertising campaigns. asper is the AI platform that helps businesses scale up marketing content like blog articles, social media posts, sales emails, website copy, and more.
Free, Paid or Open Source	Paid (USD 29 per month)

Name	Jasper AI
URL	https://www.jasper.ai/
Description	Jasper is the AI platform that helps businesses scale up marketing content like blog articles, social media posts, sales emails, website copy, and more.
Free, Paid or Open Source

2. Process Automation

Name	AI Builder in Power Automate
URL	https://learn.microsoft.com/en-us/ai-builder/use-in-flow-overview
Description	Adding AI to Microsoft Power Automate process automation
Free, Paid or Open Source	Bundled in as part of Microsoft Copilot license

3. Productivity Tools

Name	Claude 3
URL	https://claude.ai
Description	Alternative to Chat GPT. Trained by Anthropic using Constitutional AI.
Free, Paid or Open Source	Free plan with limitations. Paid version at USD 20 per month.

Name	Chatsonic
URL	https://writesonic.com/chat
Description	Advanced AI Chat,Outperforming ChatGPT with Fast, Real-Time Web Search, Vision, and Chat PDF Capabilities.
Free, Paid or Open Source	Free plan. Paid version at USD 12 per month.

Name	Github Copilot
URL	https://github.com/features/copilot
Description	GitHub Copilot is a code completion tool developed by GitHub (owned by Microsoft) and OpenAI (49% owned by Microsoft) that assists users of Visual Studio Code, Visual Studio, Neovim, and JetBrainsintegrated development environments (IDEs) by autocompleting code
Free, Paid or Open Source	Free

Learning

1. Study Aids

Name	Claude 3
URL	https://claude.ai
Description	Alternative to Chat GPT. Trained by Anthropic using Constitutional AI.
Free, Paid or Open Source	Free plan with limitations. Paid version at USD 20 per month.

Name	Chatsonic
URL	https://writesonic.com/chat
Description	Advanced AI Chat,Outperforming ChatGPT with Fast, Real-Time Web Search, Vision, and Chat PDF Capabilities.
Free, Paid or Open Source	Free plan. Paid version at USD 12 per month.

2. Content Creation

Name	Pitch
URL	https://pitch.com/
Description	Create presentation slides using prompt
Free, Paid or Open Source	Free plan for individual use. Paid version at USD 20 per month for workspace collaboration.

Name	Canva AI Function
URL	https://www.canva.com/ai-image-generator/
Description	AI image generator
Free, Paid or Open Source	Free plan. Paid version at S165 per year.

Name	Adobe Firefly
URL	https://www.adobe.com/sg/products/firefly.html
Description	AI art generator that creates images from text prompts.
Free, Paid or Open Source	Free plan with 25 credits per month. Paid version at USD 4.99 with 100 creits per month

Name	ElevenLabs
URL	https://elevenlabs.io/
Description	AI voice generator and text to speech in 29 languages
Free, Paid or Open Source	Free plan with 10min audio per month. Paid version at USD 1 per month.

Name	Natural Reader
URL	https://www.naturalreaders.com/
Description	Text to speech reader (Assistive Technology)
Free, Paid or Open Source	Free plan with 1 upload per day. Paid version at USD 199 per year for 5 users.

Name	HeyGen
URL	https://www.heygen.com
Description	HeyGen is an AI video generator that allows users to create talking-head avatar videos in minutes.
Free, Paid or Open Source	Paid (USD 24 per month)

Name	Elai
URL	https://www.elai.io
Description	Ai video generator from text (Avatar-based)
Free, Paid or Open Source	Free plan with 1 credit. Paid versio at USD 13 per month with 15 video minutes.

Name	InVideo
URL	https://invideo.io
Description	Video content creation with text prompt
Free, Paid or Open Source	Free plan with 10min per week generation. Paid version at USD20 per month.

Name	AdCreative AI
URL	https://www.adcreative.ai/
Description	AdCreative.ai is an artificial intelligence (AI) tool that allows users to generate creatives and texts for a range of social, search, and display-based advertising campaigns. asper is the AI platform that helps businesses scale up marketing content like blog articles, social media posts, sales emails, website copy, and more.
Free, Paid or Open Source	Paid (USD 29 per month)

Name	Jasper AI
URL	https://www.jasper.ai/
Description	Jasper is the AI platform that helps businesses scale up marketing content like blog articles, social media posts, sales emails, website copy, and more.
Free, Paid or Open Source

3. Collaborative and Adaptive Learning (pending)

Career Readiness

1. Resume and Cover Letter Writing

Name	Rezi AI
URL	https://www.rezi.ai
Description	Rezi is the only resume platform that uses leading AI to automate every aspect of creating a hirable resume—writing, editing, formatting, and optimizing.
Free, Paid or Open Source	Free edition available. Pro version at USD 12 monthly.

Name	aiApply
URL	https://aiapply.co/resume-builder
Description	AI powered resume builder.
Free, Paid or Open Source	Free edition available.

Name	Teal
URL	https://www.tealhq.com
Description	AI powered resume builder.
Free, Paid or Open Source	Free edition available.

2. Interview Preparation

Name	Shadowing AI
URL	https://shadowing.ai
Description	Interview preparation platform for job seekers.
Free, Paid or Open Source	Free trial available. Light version at USD 5 per week.

Name	Yoodli
URL	https://yoodli.ai
Description	Improve your communication skills with private, real-time, and judgment-free coaching — powered by AI. Like Grammarly, but for speech!
Free, Paid or Open Source	Free edition available with limited use. Paid version at USD 8 per month.

Name	AiApply Job Interview
URL	https://aiapply.co/ai-job-interview
Description	Prepare for an upcoming interview with the power of AI.
Free, Paid or Open Source	Free edition available.

3. Skill Development (pending)

The way how we design, plan, and write prompts will affect the accuracy, creativity, depth, effectiveness, and quality of responses and results we might get from the generative AI tools.

Write prompts like how you make a meaningful conversation or request for a product/service by providing clear and specific instructions

Basic Guidelines

Who your respondent is ("Act as a/an" [role]. Eg. Act as an expert editor, counselor specialising in couple therapy in Singapore...)
What are the tasks you want the respondent to carry out (Provide a summary of the tasks)
What are the specific requirements that need to be included in the task
What the generative AI needs to do (Provide the instructions)

AI Literacy

Always review and verify the generated content to ensure it does not provide misinformation or disinformation. You can make use of the CRAAP (Currency, Relevance, Authority, Accuracy, and Purpose) principles for evaluation.

Please refer to our library guide "Using CRAAP to evaluate information" for details.
You can also refer to the useful AI literacy framework entitled "A Framework for AI Literacy" developed by Barnard College which provides a conceptual foundation for AI education and programming eﬀorts in higher education institutional contexts.

- Understand AI

- Use and Apply AI

- Analyse and Evaluate AI

- Create AI

Example of a Prompt:

You are an expert librarian specializing in Singapore history.

List 3 relevant and useful sources that contain credible and authoritative publications on Singapore history. Search and retrieve books and peer-reviewed journal articles based on the 3 topics:

Johor Sultanate
Malacca Sultanate
Maritime trading port

Provide the citation count, source of the citation, and summary for these books and journal articles. Organize the information into a list by topic and compile them into a table. Compile the information into a bibliography. Include the title, author, publisher, and year of publication. Use APA style, 7th edition. Provide the date of compilation at the end of the table

Below are selected resources that provide guidance on how to write or generate effective prompts:

1. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (Google Brain Team)

2. Chatgpt Cheat Sheet (University of Dartmouth)

3 Chatgpt Prompts

4. Dalle3 Prompt Tips And Tricks Thread

5. GenAI Chatbot Prompt Library for Educators

6. GitHub: Awesome ChatGPT Prompts

7. How to Perfect Your Prompt Writing for ChatGPT, Midjourney, and Other AI Generators

8. Keywordseverywhere (chatgpt prompt templates)

9. Prompt Engineering (OpenAI)

10. Learn about Copilot prompts (Microsoft Copilot)

Prompts to Try (Microsoft Copilot)

11. The CLEAR path: A framework for Enhancing Information Literacy through Prompt Engineering

Referencing / Citing AI

All ideas that are not original must be acknowledged, including ideas from generative AI tools.

As with acceptable academic practice, attribution is expected if students use AI to generate responses as part of assessment submissions. Attribution includes the following:

Appropriate and discipline-specific citation, and
A table detailing the name of the AI tool used, the approach to using the tool (e.g., what prompts were used), the full output provided by the tool, and which part of the output was adapted for the assignment.

How to cite Generative AI tools (e.g., ChatGPT) as a source

Presently, there are no specific, formal guidelines from the major citation styles about how to cite ChatGPT or other Generative AI tools as a source.

The general recommendation is to use the format for personal communications to cite any response generated by AI tools.

For more information, you may refer to the following Citation Guides:

(Extracted from Teaching & Learning Centre, Singapore University of Social Sciences. (2023). Academic Integrity [online]. Available from: https://rise.articulate.com/share/i4wup4aZRMcXCL293kJqgBgfp3UmaQMl#/ [accessed 7 May 2024].)

Resources

You can make use of our subscribed library resources and complement these sources with other online resources to access information on generative AI.

Please refer to our library guide to learn how to search for resources or book a consultation session with our librarians to get personalized guidance on searching and using information effectively.

eBooks

Introduction to Generative AI by Numa Dhamani Generative AI tools like ChatGPT are amazing--but how will their use impact our society? This book introduces the world-transforming technology and the strategies you need to use generative AI safely and effectively. Introduction to Generative AI gives you the hows-and-whys of generative AI in accessible language. In this easy-to-read introduction, you'll learn: How large language models (LLMs) work How to integrate generative AI into your personal and professional workflows Balancing innovation and responsibility The social, legal, and policy landscape around generative AI Societal impacts of generative AI Where AI is going Anyone who uses ChatGPT for even a few minutes can tell that it's truly different from other chatbots or question-and-answer tools. Introduction to Generative AI guides you from that first eye-opening interaction to how these powerful tools can transform your personal and professional life. In it, you'll get no-nonsense guidance on generative AI fundamentals to help you understand what these models are (and aren't) capable of, and how you can use them to your greatest advantage. Foreword by Sahar Massachi. About the technology Generative AI tools like ChatGPT, Bing, and Bard have permanently transformed the way we work, learn, and communicate. This delightful book shows you exactly how Generative AI works in plain, jargon-free English, along with the insights you'll need to use it safely and effectively. About the book Introduction to Generative AI guides you through benefits, risks, and limitations of Generative AI technology. You'll discover how AI models learn and think, explore best practices for creating text and graphics, and consider the impact of AI on society, the economy, and the law. Along the way, you'll practice strategies for getting accurate responses and even understand how to handle misuse and security threats. What's inside How large language models work Integrate Generative AI into your daily work Balance innovation and responsibility About the reader For anyone interested in Generative AI. No technical experience required. About the author Numa Dhamani is a natural language processing expert working at the intersection of technology and society. Maggie Engler is an engineer and researcher currently working on safety for large language models. The technical editor on this book was Maris Sekar. Table of Contents 1 Large language models: The power of AI Evolution of natural language processing 2 Training large language models 3 Data privacy and safety with LLMs 4 The evolution of created content 5 Misuse and adversarial attacks 6 Accelerating productivity: Machine-augmented work 7 Making social connections with chatbots 8 What's next for AI and LLMs 9 Broadening the horizon: Exploratory topics in AI
ISBN: 1638354340
Publication Date: 2024-03-05
Generative AI in Higher Education: The ChatGPT Effect by Chan, Cecilia Ka Yuk and Colloton, Tom
ISBN: 9781003459026
Publication Date: 2024
Using Generative AI Effectively in Higher Education by Sue Beckingham, Jenny Lawrence, Stephen Powell, Peter Hartley
ISBN: 1003482910
Publication Date: 2024
Generative Deep Learning by David Foster Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models. The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative. Discover how VAEs can change facial expressions in photos Train GANs to generate images based on your own dataset Build diffusion models to produce new varieties of flowers Train your own GPT for text generation Learn how large language models like ChatGPT are trained Explore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN Compose polyphonic music using Transformers and MuseGAN Understand how generative world models can solve reinforcement learning tasks Dive into multimodal models such as DALL.E 2, Imagen, and Stable Diffusion This book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage.
ISBN: 9781098134181
Publication Date: 2023-06-06
Exploring Deepfakes by Bryan Lyon; Matt Tora Master the innovative world of deepfakes and generative AI for face replacement with this full-color guide Purchase of the print or Kindle book includes a free PDF eBook Key Features: Understand what deepfakes are, their history, and how to use the technology ethicallyGet well-versed with the workflow and processes involved to create your own deepfakesLearn how to apply the lessons and techniques of deepfakes to your own problems Book Description: Applying Deepfakes will allow you to tackle a wide range of scenarios creatively. Learning from experienced authors will help you to intuitively understand what is going on inside the model. You'll learn what deepfakes are and what makes them different from other machine learning techniques, and understand the entire process from beginning to end, from finding faces to preparing them, training the model, and performing the final swap. We'll discuss various uses for face replacement before we begin building our own pipeline. Spending some extra time thinking about how you collect your input data can make a huge difference to the quality of the final video. We look at the importance of this data and guide you with simple concepts to understand what your data needs to really be successful. No discussion of deepfakes can avoid discussing the controversial, unethical uses for which the technology initially became known. We'll go over some potential issues, and talk about the value that deepfakes can bring to a variety of educational and artistic use cases, from video game avatars to filmmaking. By the end of the book, you'll understand what deepfakes are, how they work at a fundamental level, and how to apply those techniques to your own needs. What You Will Learn: Gain a clear understanding of deepfakes and their creationUnderstand the risks of deepfakes and how to mitigate themCollect efficient data to create successful deepfakesGet familiar with the deepfakes workflow and its stepsExplore the application of deepfakes methods to your own generative needsImprove results by augmenting data and avoiding overtrainingExamine the future of deepfakes and other generative AIsUse generative AIs to increase video content resolution Who this book is for: This book is for AI developers, data scientists, and anyone looking to learn more about deepfakes or techniques and technologies from Deepfakes to help them generate new image data. Working knowledge of Python programming language and basic familiarity with OpenCV, Pillow, Pytorch, or Tensorflow is recommended to get the most out of the book.
ISBN: 9781801810692
Publication Date: 2023-03-28
Natural Language Processing with Transformers, Revised Edition by Lewis Tunstall; Leandro von Werra; Thomas Wolf Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering Learn how transformers can be used for cross-lingual transfer learning Apply transformers in real-world scenarios where labeled data is scarce Make transformer models efficient for deployment using techniques such as distillation, pruning, and quantization Train transformers from scratch and learn how to scale to multiple GPUs and distributed environments
ISBN: 9781098136796
Publication Date: 2022-07-05
Artificial Intelligence by Julie Mehan A global perspective on AI AI is much more than just a simple tool powering our smartphones or allowing us to ask Alexa about the latest cinema times. It is a technology that is, in very subtle but unmistakable ways, exerting an ever-increasing influence over our lives - and the more we use it, the more AI is altering our existence. The rise of AI and super-intelligent AI raises ethical issues. AI is the power behind Google's search engine, enables social media sites to serve up targeted advertising, and gives Alexa and Siri their voices. It is also the technology enabling self-driving vehicles, predictive policing, and autonomous weapons that have the ability to kill without direct human intervention. All of these bring up complex ethical issues that are still unresolved and will continue to be the subject of ongoing debate. There are untold how-to books on AI technology, replete with methods to improve and advance the statistics and algorithms of AI; however, the social, ethical and security impacts are often at best a secondary consideration - if discussed at all. This book explores the complex topic of AI ethics in a cross-functional way, alternating between theory and practice. Practical and recent events, and their associated challenges, are presented, such as the collateral effects of the COVID-19 pandemic on the application of AI technologies. The book also gives an up-to-date overview of the potential positive and negative outcomes of AI implementations together with an analysis of AI from an ethical perspective. Before you dive into a world populated with AI, read this book to understand the associated ethical challenges of AI technologies
ISBN: 9781787783720
Publication Date: 2022-07-14
Building Generative AI-Powered Apps A Hands-on Guide for Developers by Kansal, Aarushi
ISBN: 9798868802058
Publication Date: 2024
Generative AI on AWS by Chris Fregly; Antje Barth; Shelbee Eigenbrode Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology. You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images. Apply generative AI to your business use cases Determine which generative AI models are best suited to your task Perform prompt engineering and in-context learning Fine-tune generative AI models on your datasets with low-rank adaptation (LoRA) Align generative AI models to human values with reinforcement learning from human feedback (RLHF) Augment your model with retrieval-augmented generation (RAG) Explore libraries such as LangChain and ReAct to develop agents and actions Build generative AI applications with Amazon Bedrock
ISBN: 9781098159221
Publication Date: 2023-12-19
Synthetic Data and Generative AI by Vincent Granville Synthetic Data and Generative AI covers the foundations of machine learning with modern approaches to solving complex problems and the systematic generation and use of synthetic data. Emphasis is on scalability, automation, testing, optimizing, and interpretability (explainable AI). For instance, regression techniques - including logistic and Lasso - are presented as a single method without using advanced linear algebra. Confidence regions and prediction intervals are built using parametric bootstrap without statistical models or probability distributions. Models (including generative models and mixtures) are mostly used to create rich synthetic data to test and benchmark various methods.
ISBN: 9780443218576
Publication Date: 2024-01-12
Unlocking the Secrets of Prompt Engineering by Gilbert Mizrahi; Daniel Serfaty (Foreword by) Enhance your writing with AI by mastering prompt engineering techniques and become an expert in developing and utilizing LLM prompts across applications Key Features Master prompt engineering techniques to harness AI's writing potential Discover diverse LLM applications for content creation and beyond Learn through practical examples, use cases, and hands-on guidance Purchase of the print or Kindle book includes a free PDF eBook Book Description Unlocking the Secrets of Prompt Engineering is your key to mastering the art of AI-driven writing. This book propels you into the world of large language models (LLMs), empowering you to create and apply prompts effectively for diverse applications, from revolutionizing content creation and chatbots to coding assistance.Starting with the fundamentals of prompt engineering, this guide provides a solid foundation in LLM prompts, their components, and applications. Through practical examples and use cases, you'll discover how LLMs can be used for generating product descriptions, personalized emails, social media posts, and even creative writing projects like fiction and poetry. The book covers advanced use cases such as creating and promoting podcasts, integrating LLMs with other tools, and using AI for chatbot development. But that's not all. You'll also delve into the ethical considerations, best practices, and limitations of using LLM prompts as you experiment and optimize your approach for best results.By the end of this book, you'll have unlocked the full potential of AI in writing and content creation to generate ideas, overcome writer's block, boost productivity, and improve communication skills. What you will learn Explore the different types of prompts, their strengths, and weaknesses Understand the AI agent's knowledge and mental model Enhance your creative writing with AI insights for fiction and poetry Develop advanced skills in AI chatbot creation and deployment Discover how AI will transform industries such as education, legal, and others Integrate LLMs with various tools to boost productivity Understand AI ethics and best practices, and navigate limitations effectively Experiment and optimize AI techniques for best results Who this book is for This book is for a wide audience, including writers, marketing and business professionals, researchers, students, tech enthusiasts, and creative individuals. Anyone looking for strategies and examples for using AI co-writing tools like ChatGPT effectively in domains such as content creation, drafting emails, and inspiring artistic works, will find this book especially useful. If you are interested in AI, NLP, and innovative software for personal or professional use, this is the book for you. ]]>
ISBN: 9781835083833
Publication Date: 2024-01-12
The Quick Guide to Prompt Engineering by Ian Khan Design and use generative AI prompts that get helpful and practical results in this concise and quick start guide. In The Quick Guide to Prompt Engineering, renowned technology futurist and AI thought leader Ian Khan delivers a practical and insightful resource for taking the first steps in understanding and learning how to use generative AI. You will learn how to design and use prompts to get the most out of Large Language Model generative AI applications like ChatGPT, DALL-E, Google's Bard, and explore how to understand generative artificial intelligence and how to engineer prompts in a wide variety of industry use cases. You'll also find  illuminating case studies and hands-on exercises, as well as step-by-step guides, to get you up to speed on prompt engineering in no time at all. The book has been written for the non-technical user to take the first steps in the world of generative AI. Along with a helpful glossary of common terms, lists of useful additional reading and resources, and other resources, you'll get:  Explanations of the basics of generative artificial intelligence that help you to learn what's going on under the hood of ChatGPT and other LLMs  Stepwise guides to creating effective, efficient, and ethical prompts that help you get the most utility possible from these exciting new tools  Strategies for generating text, images, video, voice, music, and other audio from various publicly available artificial intelligence tools  Perfect for anyone with an interest in one of the newest and most practical technological advancements recently released to the public, The Quick Guide to Prompt Engineering is a must-read for tech enthusiasts, marketers, content creators, technical professionals, data experts, and anyone else expected to understand and use generative AI at work or at home. No previous experience is required.
ISBN: 1394243324
Publication Date: 2024-03-26
Writing AI Prompts for Dummies by Stephanie Diamond; Jeffrey Allan Learn the art of writing effective AI prompts and break into an exciting new career field Unlock the full power of generative AI with Writing AI Prompts For Dummies, a comprehensive guide that will teach you how to confidentially write effective AI prompts. Whether it's text, images, or even videos and music you're aiming to create, this book provides the foundational knowledge and practical strategies needed to produce impressive results. Embark on a journey of discovery with Writing AI Prompts For Dummies and learn how to: Craft AI prompts that produce the most powerful results. Navigate the complexities of different AI platforms with ease. Generate a diverse range of content, from compelling narratives to stunning visuals. Refine AI-generated output to perfection and integrate that output effectively into your business or project. This resource is brimming with expert guidance and will help you write AI prompts that achieve your objectives. Whether you're a marketer, educator, artist, or entrepreneur, Writing AI Prompts For Dummies is your indispensable guide for leveraging AI to its fullest potential. Get ready to harness the power of artificial intelligence and spark a revolution in your creative and professional efforts.
ISBN: 9781394244683
Publication Date: 2024-03-27

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1. AI Singapore