Here are some key ethical issues to consider when using generative AI like ChatGPT in the classroom:
1. Accuracy and reliability of information. Students may take generative AI outputs as fact without verifying the information. Teachers need to emphasize to students that AI systems can be wrong or generate implausible responses.
2. Bias and unfair treatment. As the systems are trained on human-created data, they risk perpetuating biases in that data if not developed carefully. Teachers should be aware of potential biases.
3. Privacy and consent. Student data used to improve systems raises privacy issues. Systems should not collect private student data without permission.
4. Authorship and ownership. It may not be clear
Dive into the world of GPT-4, the state-of-the-art AI language model by OpenAI. Learn how to craft effective prompts and unlock the full potential of GPT-4 for a wide range of applications, including content generation.
Keywords:
GPT-4, OpenAI, artificial intelligence, language model, prompting, content generation, machine learning, natural language processing, NLP, deep learning, tokenization, context window, prompt engineering, reinforcement learning, fine-tuning, response quality, API, zero-shot learning, few-shot learning, AI ethics, use cases, best practices, performance optimization, transformer architecture, AI-powered solutions.
Let's talk about GPT: A crash course in Generative AI for researchersSteven Van Vaerenbergh
This talk delves into the extraordinary capabilities of the emerging technology of generative AI, outlining its recent history and emphasizing its growing influence on scientific endeavors. Through a series of practical examples tailored for researchers, we will explore the transformative influence of these powerful tools on scientific tasks such as writing, coding, data wrangling and literature review.
ChatGPT is a chatbot developed by OpenAI and launched in November 2022.
Useful to all the school and college going
Kindly use ChatGPT to enhance your knowledge
A brief introduction to generative models in general is given, followed by a succinct discussion about text generation models and the "Transformer" architecture. Finally, the focus is set on a non-technical discussion about ChatGPT with a selection of recent news articles.
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
Dive into the world of GPT-4, the state-of-the-art AI language model by OpenAI. Learn how to craft effective prompts and unlock the full potential of GPT-4 for a wide range of applications, including content generation.
Keywords:
GPT-4, OpenAI, artificial intelligence, language model, prompting, content generation, machine learning, natural language processing, NLP, deep learning, tokenization, context window, prompt engineering, reinforcement learning, fine-tuning, response quality, API, zero-shot learning, few-shot learning, AI ethics, use cases, best practices, performance optimization, transformer architecture, AI-powered solutions.
Let's talk about GPT: A crash course in Generative AI for researchersSteven Van Vaerenbergh
This talk delves into the extraordinary capabilities of the emerging technology of generative AI, outlining its recent history and emphasizing its growing influence on scientific endeavors. Through a series of practical examples tailored for researchers, we will explore the transformative influence of these powerful tools on scientific tasks such as writing, coding, data wrangling and literature review.
ChatGPT is a chatbot developed by OpenAI and launched in November 2022.
Useful to all the school and college going
Kindly use ChatGPT to enhance your knowledge
A brief introduction to generative models in general is given, followed by a succinct discussion about text generation models and the "Transformer" architecture. Finally, the focus is set on a non-technical discussion about ChatGPT with a selection of recent news articles.
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
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Generative AI Use-cases for Enterprise - First SessionGene Leybzon
In this presentation, we will delve into the exciting applications of Generative AI across various business domains. Leveraging the capabilities of artificial intelligence and machine learning, Generative AI allows for dynamic, context-aware user interfaces that adapt in real-time to provide personalized user experiences. We will explore how this transformative technology can streamline design processes, facilitate user engagement, and open the doors to new forms of interactivity.
If you are considering using either language model, but aren’t quite sure which one’s the best fit for your intended purpose, read on for a ChatGPT vs. GPT-3 head-to-head comparison where we evaluate every aspect of the language models, right from their emergence, how they work, and their suitability in different applications.
Leveraging Generative AI & Best practicesDianaGray10
In this event we will cover:
- What is Generative AI and how it is being for future of work.
- Best practices for developing and deploying generative AI based models in productions.
- Future of Generative AI, how generative AI is expected to evolve in the coming years.
The Future of AI is Generative not Discriminative 5/26/2021Steve Omohundro
The deep learning AI revolution has been sweeping the world for a decade now. Deep neural nets are routinely used for tasks like translation, fraud detection, and image classification. PwC estimates that they will create $15.7 trillion/year of value by 2030. But most current networks are "discriminative" in that they directly map inputs to predictions. This type of model requires lots of training examples, doesn't generalize well outside of its training set, creates inscrutable representations, is subject to adversarial examples, and makes knowledge transfer difficult. People, in contrast, can learn from just a few examples, generalize far beyond their experience, and can easily transfer and reuse knowledge. In recent years, new kinds of "generative" AI models have begun to exhibit these desirable human characteristics. They represent the causal generative processes by which the data is created and can be compositional, compact, and directly interpretable. Generative AI systems that assist people can model their needs and desires and interact with empathy. Their adaptability to changing circumstances will likely be required by rapidly changing AI-driven business and social systems. Generative AI will be the engine of future AI innovation.
An Introduction to Generative AI - May 18, 2023CoriFaklaris1
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
Tech adoption for AI ML has been rapidly growing over the globe and ChatGPT is the game changer. Artificial intelligence and Machine learning are uplifting internet era with swift solutions for users. https://www.9series.com/blog/revolutionary-chatgpt/
This was the training session follow up to the general talk on ChatGPT. This talk has a bit more detail on prompt writing along with the power and limitations of ChatGPT for Marketing.
One thing to keep in mind is that ChatGPT, like all language models, is not perfect and may not always produce the desired results. Therefore, there are several things that businesses should consider before using ChatGPT. Here is a detailed explanation of some of the key limitations of ChatGPT. To know all problems of ChatGPT then visit blog post at https://windzoon.com/blog/chatgpt-for-small-businesses/
Innnovations in online teaching and learning: CHatGPT and other artificial as...Rebecca Ferguson
Talk given by Agnes Kukulska-Hulme and Rebecca Ferguson to SciLab (a centre for pedagogical research and innovation in business and law) at The Open University, Milton Keynes, UK on Wednesday 3 May 2023.
"Increase Productivity with ChatGPT" is a comprehensive presentation that explores the benefits of using ChatGPT, to increase productivity in your working domain. From faster & accurate responses to quick task completion, discover how ChatGPT can help you to reach new levels of productivity and success.
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If you are considering using either language model, but aren’t quite sure which one’s the best fit for your intended purpose, read on for a ChatGPT vs. GPT-3 head-to-head comparison where we evaluate every aspect of the language models, right from their emergence, how they work, and their suitability in different applications.
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In this event we will cover:
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- Best practices for developing and deploying generative AI based models in productions.
- Future of Generative AI, how generative AI is expected to evolve in the coming years.
The Future of AI is Generative not Discriminative 5/26/2021Steve Omohundro
The deep learning AI revolution has been sweeping the world for a decade now. Deep neural nets are routinely used for tasks like translation, fraud detection, and image classification. PwC estimates that they will create $15.7 trillion/year of value by 2030. But most current networks are "discriminative" in that they directly map inputs to predictions. This type of model requires lots of training examples, doesn't generalize well outside of its training set, creates inscrutable representations, is subject to adversarial examples, and makes knowledge transfer difficult. People, in contrast, can learn from just a few examples, generalize far beyond their experience, and can easily transfer and reuse knowledge. In recent years, new kinds of "generative" AI models have begun to exhibit these desirable human characteristics. They represent the causal generative processes by which the data is created and can be compositional, compact, and directly interpretable. Generative AI systems that assist people can model their needs and desires and interact with empathy. Their adaptability to changing circumstances will likely be required by rapidly changing AI-driven business and social systems. Generative AI will be the engine of future AI innovation.
An Introduction to Generative AI - May 18, 2023CoriFaklaris1
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
Tech adoption for AI ML has been rapidly growing over the globe and ChatGPT is the game changer. Artificial intelligence and Machine learning are uplifting internet era with swift solutions for users. https://www.9series.com/blog/revolutionary-chatgpt/
This was the training session follow up to the general talk on ChatGPT. This talk has a bit more detail on prompt writing along with the power and limitations of ChatGPT for Marketing.
One thing to keep in mind is that ChatGPT, like all language models, is not perfect and may not always produce the desired results. Therefore, there are several things that businesses should consider before using ChatGPT. Here is a detailed explanation of some of the key limitations of ChatGPT. To know all problems of ChatGPT then visit blog post at https://windzoon.com/blog/chatgpt-for-small-businesses/
Innnovations in online teaching and learning: CHatGPT and other artificial as...Rebecca Ferguson
Talk given by Agnes Kukulska-Hulme and Rebecca Ferguson to SciLab (a centre for pedagogical research and innovation in business and law) at The Open University, Milton Keynes, UK on Wednesday 3 May 2023.
"Increase Productivity with ChatGPT" is a comprehensive presentation that explores the benefits of using ChatGPT, to increase productivity in your working domain. From faster & accurate responses to quick task completion, discover how ChatGPT can help you to reach new levels of productivity and success.
Chatbots Using GPT (Generative Pretrained Transformer)Rodeker Davis
So, what exactly are chatbots? Simply put, chatbots are computer programs designed to simulate conversation with human users, especially over the Internet. They can be found on websites, messaging apps, and mobile apps, and are often used to provide customer service, answer frequently asked questions, or assist with online transactions.
Now you might be wondering, why are chatbots useful? There are several reasons why chatbots can be beneficial:
24/7 availability: Chatbots can operate around the clock, so users can get help or information at any time of day.
Increased efficiency: Chatbots can handle multiple conversations at once, so they can assist more users in a shorter amount of time.
Personalization: Chatbots can be programmed to tailor their responses based on the user's input, creating a more personalized experience.
Cost-effective: Chatbots can often handle simple tasks at a lower cost than hiring additional human staff.
In summary, chatbots are useful because they can provide instant assistance to users, operate efficiently, offer personalized interactions, and can be a cost-effective solution for businesses.
This course is an introduction to chatbots and how to build them using GPT (Generative Pretrained Transformer). Chatbots are computer programs designed to simulate conversation with human users, and they can be found on websites, messaging apps, and mobile apps. They are often used to provide customer service, answer frequently asked questions, or assist with online transactions.
GPT is a state-of-the-art language processing model developed by OpenAI that can generate human-like text. It can be fine-tuned for various language tasks, including chatbot development. In this course, you will learn the basics of chatbot development and how to use GPT to build your own chatbot. You will also learn advanced techniques for handling context, incorporating external data, customizing the chatbot's personality, and deploying the chatbot.
By the end of this course, you will have the knowledge and skills to build and deploy your own chatbot using GPT.
GPT (Generative Pre-trained Transformer) is a state-of-the-art language processing model developed by Open AI. It is a type of artificial intelligence (AI) that is capable of generating human-like text.
GPT works by training on a large dataset of human-generated text, such as articles, books, and websites. It uses this training data to learn the patterns and structures of human language. Once it has been trained, GPT can be fine-tuned for a specific language task, such as translation, summarization, or chatbot development.
To generate text, GPT takes in a prompt, or a piece of text that provides context or a starting point for the output. It then uses its knowledge of language patterns to generate a response that is coherent and relevant to the prompt. The generated text is not a copy of the input, but rather it is generated based on the model's understanding of the language.
ChatGPT is a significant step in creating a seamless connection between humans and a chatbot. It goes beyond what one might expect from a conversational AI. The tool is capable of handling complex questions and performing advanced tasks. The model architecture of ChatGPT is based on the Generative Pre-training Transformer (GPT) and is trained on a massive amount of text data.
It has the potential to produce human-like text for various natural language processing tasks, such as language translation, question answering, and text summarization. The model is pre-trained on a vast amount of text data and then fine-tuned for specific tasks. This allows the model to understand the complexities of language and produce more natural and accurate text.
Moving into details, ChatGPT was launched by OpenAI in November 2022. OpenAI is a San Francisco-based AI and research company that has created many usable projects in the field of AI. This AI-based chatbot was developed to address some of the issues of traditional chatbots, such as limited understanding models and improvement capacity. ChatGPT auto-detects words and provides outputs based on the inputs given by users. The bot is easy-to-use and has already attracted over a million users.
A study states that people are now spending more time in messaging apps than social networking applications. Messaging apps are in trend and chatbots are the future. Learn everything about the chatbots from history to types to working, right here.
5 BENIFITES OF CHAT GPT: Discover the Power of Chat GPT: 5 Benefits of chat GPT Learn how Chat GPT can enhance user engagement, increase efficiency, improve content creation, provide better customer support, and save costs. Check out our PowerPoint presentation to explore the possibilities of this cutting-edge technology.
ChatGPT is a highly advanced tool that allows non-technical users access to powerful capabilities and reduces the time required to develop applications. Consider that we want to build a to-do list application using React Native. Now with the help of ChatGPT, we will start the development process.
The days of simply engaging with a service through a keyboard are over. Users interact with systems more and more by using voice assistants and chatbots. A chatbot is a computer program that can chat with human’s using Artificial Intelligence in messaging platforms. Every time when the chatbot gets input from the user, it saves the input and response, which helps chatbot with little initial knowledge to evolve using gathered responses. With increased responses, precision of the chatbot also gets increase. The ultimate goal of this project is to add a chatbot feature and API. This project will inquire into the advancement of Artificial Intelligence and Machine Learning technology that are being used to improve many services. Most importantly it will look at development of chatbots as a channel for information distribution. The program will select the closest matching response from the matching statement that matches the input utilizing WordNet, it then chooses the response from the known selection of statements for that response. This project aims to implement online chatbot system to assist users who access college website by using tools that expose Artificial Intelligence methods such as Natural Language Processing in allowing users to communicate with college chatbot using natural language input and to train chatbot using appropriate Machine Learning methods in order to be able to generate a response. There are various applications that are incorporating to a human appearance and intends to simulate human dialog, yet in most cases, knowledge of chatbot is stored in a database created by a human expert. Fredrick B Lyngdoh | Raghavendra R. "Chatbot" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49799.pdf Paper URL: https://www.ijtsrd.com/computer-science/cognitive-science/49799/chatbot/fredrick-b-lyngdoh
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2. Agenda [120 min]
● Opener [5 min]
● Review Objectives [2 min]
● What is Generative AI?
● How do I access it?
● How does it differ from a search
engine?
● What are some things it can do?
● Practice 1: Using Chat GPT to
Summarize
● Practice 2: Using Chat GPT as an
example machine
● Practice 3: Planning a PBL Unit
with Bard
● Practice 4: Using Chat GPT to
Write Driving Questions
● Discussion
● Wrapping up, Exit Ticket [8 min]
3. What is generative AI?
Generative artificial intelligence or generative AI is a type of
artificial intelligence system capable of generating text,
images, or other media in response to prompts.
Generative AI models learn the patterns and structure of
their input training data, and then generate new data that has
similar characteristics. (Wikipedia)
6. Have you ever spoken with a chatbot?
6
Chatbots are everywhere
Siri Alexa
A textbox on your
computer screen
7. How a Chatbot works
What is the weather like today in
Boston?
Can you put together an outfit
idea which would also work for
school?
It appears to be a low of 20
degrees and a high of 35 degrees
with changes of snow!
You could go with warm leggings,
long sleeves, a comfortable
sweater, coat and gloves. You can
choose many layers so you can
remove some indoors an be
comfortable in school.
Okay, thank you.
A chatbot uses large
language models to
generate human-like
dialogue.
7
8. What is a Large Language Model
Once upon a ___ time
city
way
pizza
80%
10%
0.3%
0.005%
Probability it’s the
best next word
A large language model is a computer program that learns to predict which words
usually follow which. For example, let’s say a large language model is given a sentence
“Once upon a ___". The word it would learn is most likely to follow next is “time”.
Possible next
word
8
9. How was ChatGPT made?
9
1. Learn language
2. Learn
conversation
3. Learn
conversation that
humans like
11. Large Language Model (GPT-3)
ChatGPT is fed chunks words, paragraphs and sentences from BILLIONS of sources on the
internet:
● articles, magazines, scientific papers,
● Twitter
● Wikipedia
● Blogs.
It learns to create new sentences and paragraphs from all these examples of language online.
11
The Dataset For ChatGPT
12. Creating the Dataset
12
Look at LOTS
of text -
billions of
web pages,
books, blogs,
etc.
“Clean” that
text -
remove a lot
of profanity
Split the text
into chunks
within words -
i.e. “biggest”
becomes “big”,
“est”, etc.
These chunks
are the input to
our learning
algorithm
14. Which Words Follow Which - Learning Process (simplified)
14
Once
Upon
A
Neural
Network
Aha! The next
word is “Pizza”
Update Values in the
networks to do better
next time
Actually the text
says “time”, “once
upon a time”
15. Which Words Follow Which - Learning Process (more
complex)
15
Once
Upon
A
Neural
Network
Part
1
-
converts
words
into
vectors
Neural
Network
Part
N
Aha! The next
word is “Pizza”
Update Values in the
networks to do better
next time
Actually the text
says “time”, “once
upon a time”
[Next word chunk
probabilities]
(many
more
neural
network
layers in
between
…)
16. Once upon a time, a child went to the forest and got lost.
They tried to find their way out.
They search their way back.
They ate a pizza alone.
They did not meet their friends in school.
80%
10%
8%
0.3
%
The language model can then write sentences, paragraphs and even
pages based on words or sentences they are given.
Which Words Follow Which - After Learning
16
Probability it’s the
best next sentence
Possible next sentence
17. Learning Algorithm Part 2:
Understanding Conversation Patterns
17
1. Learn language
2. Learn
conversation
18. Input
Output
What are some ways to make schools
accessible for people with disabilities?
What are some ways to achieve this?
Some ways to make schools accessible are:
1. Providing ASL experts for students with
hearing impairments.
2. Providing ramps for students who use the
wheelchairs
3. Providing speech therapists for students
with speech needs.
You can begin with working with
accessibility experts and the school
administration to include changes in the
school’s construction policies, recruitment
and curriculum development.
Now, we get ChatGPT to learn the patterns of conversations. Before, it saw text of all
kinds - now, we give it data that is specifically made up of texting conversations,
comment threads, etc. that real people have had. We feed it the first part of the
conversation. Then, we ask it for a prediction of what the next text/comment should be.
18
Understanding Conversation Patterns
19. Understanding Conversation Patterns
19
“What are some ways to make
schools accessible for people
with disabilities?”
“Some ways to make schools
accessible are: …”
“What are some ways to
achieve this?”
Neural
Network
Aha! The next
reply is “pizza”.
Update Values in the
networks to do better
next time
Actually it’s:
“You can begin with
working with
accessibility
experts…”
20. Learning Algorithm Part 3:
Conversation Practice with Human Feedback
20
1. Learn language
2. Learn
conversation
3. Learn
conversation that
humans like
21. Conversation Practice with Human Feedback
You can learn many new
languages.
A
You can practice a new
language with your friends.
B D
Spanish is a language
similar to English.
How can I start learning a new
language?
You can learn using
learning applications like
Duolingo.
C
To talk to humans even better, ChatGPT is trained AGAIN using a process called
Reinforcement Learning. First, ChatGPT gives several possible responses to a text
from a human…
21
22. Conversation Practice with Human Feedback
You can learn many new
languages.
A
You can practice a new
language with your friends.
B
You can learn using
learning applications like
Duolingo.
C
Spanish is a language
similar to English.
D
How can I start learning a new
language?
Human
feedback
> > >
C
“I think C is the best answer of the
options given.”
…and then that human rates the responses from most relevant to least relevant response.
ChatGPT learns to reward patterns of language it sees in the most likely response, and de-
prioritize patterns in the least likely one. This makes the model better at generating dialogue in
the future. 22
23. After ALL OF THAT TRAINING…
1. Dataset - BILLIONS of web pages
2. Learning
a) Which words follow which
b) Understanding Conversation Patterns
i) I.e., which texts follow which
c) Conversation Practice with Human Feedback
23
25. Tokens are the basic units of text or code that an LLM AI uses to process and
generate language. Tokens can be characters, words, subwords, or other
segments of text or code, depending on the chosen tokenization method or
scheme.
The token limit is the maximum number of tokens that can be used in the prompt and
the completion from the model. Most LLMs have token limits, which refer to the
maximum number of tokens that the model can process at once. The token limit is
determined by the architecture of the model.Apr 19, 2023
.
https://platform.openai.com/playground
Large Language Model Parameters
26. Top p, also known as nucleus sampling, is another configuration hyperparameter
that controls the randomness of language model output. It sets a threshold
probability and selects the top tokens whose cumulative probability exceeds the
threshold. The model then randomly samples from this set of tokens to generate
output.
Temperature is a configuration hyperparameter that controls the randomness of
language model output.
https://platform.openai.com/playground
Large Language Model Parameters
28. Accessing ChatGPT
Chat GPT from Open AI
https://chat.openai.com/
Free version generally
available; paid
version(GPT Plus)
guarantees access plus
more advanced
features(GPT-4)
30. Bard(Google)
https://bard.google.com/
Meet Bard: your creative and helpful collaborator, here to
supercharge your imagination, boost your productivity, and bring
your ideas to life.
Bard is an experiment and may give inaccurate or inappropriate
responses. You can help make Bard better by leaving feedback.
Join the waitlist and try it for yourself.
31. Bard Overview for Educators
https://www.controlaltachieve.com/2023/04/google-bard-
overview-for-educators.html
32. What are differences between generative AI
and a search engine?
1. Chatbots are more conversational. When you interact with a
chatbot, you can have a natural conversation with it. You can ask
questions, make requests, and provide feedback in a way that feels
like you're talking to a real person.
This can be helpful for tasks that require more explanation or
understanding, such as customer service or booking appointments.
34. What are differences between generative AI and a
search engine?
Just as in a conversation with a human person, you can
ask follow-up questions to get more exactly what you are
looking for, and it remembers earlier parts of the
conversation.
38. 2. How to use ChatGPT to create Lesson Plans (2:11)
3. How to use ChatGPT for Vocabulary lists (3:10)
5. How to Teach something using ChatGPT 4:40
6. How to use ChatGPT to create Worksheets. 5:52
14. Ask ChatGPT to Produce Posters 9:12
15. Ask ChatGPT to create Questions and Answer Keys 9:36
16. Ask ChatGPT to Create Discussion Prompts 9:47
17. Ask ChatGPT to create IEP Goals for teaching 10:05
18. Ask ChatGPT to write Quizzes, Tests on specific Topics 10:30
28. Ask ChatGPT to generate Word Problems for Math 14:34
37. Ask ChatGPT to Brainstorm Ideas 16:47
42. Use ChatGPT to create Flashcards 18:23
39. What are ways that K-
12 teachers can use
Chat-GPT or Bard in
the classroom?
40. What are ways that K-12 teachers can use Chat-GPT
or Bard in the classroom?
Writing prompts: Chat-GPT can generate writing prompts for students
to develop their writing skills. Teachers can enter a topic or theme, and
Chat-GPT can generate a variety of prompts for students to choose
from.
These can also include sentence stems, questions, etc.
Storytelling: Chat-GPT can help students create and develop
stories. Teachers can ask Chat-GPT to provide a sentence or two to
start a story, and students can continue the story from there.
42. Using Bard to Summarize a long Web Page:
Chat GPT or Google Bard can be used to summarize text or longer
videos.
(1) Prompt to summarize a web page: Hey please summarize this
for me in 4 sentences: https://en.wikipedia.org/wiki/ChatGPT
43. Summarizing Content- Example
Sure, here is a summary of the Wikipedia article "ChatGPT" in 4 sentences:
● ChatGPT is an AI chatbot developed by OpenAI in 2022.
● It is based on the GPT-3.5 and GPT-4 language models.
● ChatGPT can hold conversations, generate text, and translate
languages.
● It has been criticized for its factual accuracy, but it has also been
praised for its ability to generate creative text formats.
I hope this is helpful!
44. Hey Please summarize this in three
sentences: https://youtu.be/Wl-TJyPKu_s Title:
The effects of social media on teenagers
Please summarize this video: URL of Video , Title: Title of
video
45. Summarizing Content
Sure, here is a summary of the YouTube video "The effects of social media
on teenagers" in three sentences:
● Social media can have both positive and negative effects on
teenagers.
● Positive effects include increased communication, social connection,
and self-expression.
● Negative effects include cyberbullying, unrealistic expectations, and
addiction.
The video goes on to discuss the various ways in which social media can
impact teenagers, both positively a
46. Summarizing Content using Chat GPT Chrome
Extension
Summarize Chrome Extension:
https://chrome.google.com/webstore/
Add Chrome extension, right-click to summarize
Disadvantage: Cannot specify details, such as length or grade level
48. Can it replace
human tutors?
KhanMigo- Personalized tutorials
https://www.khanacademy.org/khan-labs
49. Challenge #1: Using Chat GPT, Bard, or
the Chat GPT “Summarize” Chrome
extension,create a 100-word summary of a
long Wikipedia Article
50. Follow-up: Refine the length and grade level
of the response to 50 words and a third-
grade level
51. Challenge 2: Ask Chat GPT to :
write four possible driving questions
for a PBL Unit, specifying the grade
level and topic
52. A driving question should include:
■ Who is responsible?(Individual/team/whole class)
■ The Audience(teacher/students in school/general public)
■ The specific challenge or problem being addressed
■ Should be an 'open' question, allowing for multiple valid
solutions.
53. Driving Question Examples
2nd Grade:
1. How can we, as 2nd grade community helpers, create and give 3rd graders
something to sell at the Farmers Market?
2. How can we, as concerned 2nd graders, promote everyone to do Acts of
Kindness around our community and across the world?
3. How can we, as future genius’, discover our passion and use it to make the
world a better place?
4. Ho w can we, as jr. entrepreneurs, choose, design, and run our own business
so that we can spend, save, and share our profits?
54. Writing a driving question
After each response, ask two follow-up
questions with additional details
55. Challenge #3: Ask Bard or Chat GPT to create 5 review
questions for a algebra test on linear equations.
56. Challenge #4: Ask GPT-3 to :
Create four sentence stems related to a Grade 3 science
project.
57. Challenge #5: Create a Quiz with 10
questions on the topic of potential
and kinetic energy at a 4th grade
level
65. How do we assess students in
the age of AI?
https://spencerauthor.com/ai-
assessment/
66. Ethical Issues in AI in the classroom
● Is it cheating?
● Use for evil purposes?
● What does plagiarism mean in the age
of AI?
● Bias in AI Models
● Gameification
67. Ethical Issues and Generative AI
1. Misinformation and plagiarism. Generative AI can be used to create false or
misleading information that is presented as fact. This could lead to students
being misinformed or misled. Additionally, generative AI can be used to generate
content that is plagiarized from other sources. This could have serious
consequences for students, as they could be accused of academic dishonesty.
1. Bias and discrimination. Generative AI models are trained on data that reflects
the biases of the real world. This means that the content generated by these
models can be biased, and could perpetuate harmful stereotypes. For example, a
generative AI model that is trained on a dataset of news articles about crime
might be more likely to generate text that describes criminals as being male,
black, and young.
68. Ethical Issues and Generative AI
1. Privacy and security. Generative AI models can be used to generate realistic and
convincing content, including images, videos, and audio. This raises concerns
about privacy and security, as this content could be used to impersonate real
people or to create harmful content. For example, a generative AI model could
be used to create a realistic deepfake of a politician, which could then be used
to spread misinformation or to damage the politician's reputation.
1. Intellectual property. Generative AI models can be used to create new content
that is protected by copyright. This raises concerns about intellectual property,
as it is not always clear who owns the rights to the content generated by these
models. For example, a student might use a generative AI model to generate a
piece of creative writing, and then claim that they own the copyright to this work.
71. Resources
7 Ways Teachers Can Harness the Power of AI for
Learning https://youtu.be/Gd7HcJY8U2s
How ChatGPT and similar AI will disrupt
education
https://www.sciencenews.org/article/chatgpt-
ai-artificial-intelligence-education-cheating-
accuracy
![Agenda [120 min]
● Opener [5 min]
● Review Objectives [2 min]
● What is Generative AI?
● How do I access it?
● How does it differ from a search
engine?
● What are some things it can do?
● Practice 1: Using Chat GPT to
Summarize
● Practice 2: Using Chat GPT as an
example machine
● Practice 3: Planning a PBL Unit
with Bard
● Practice 4: Using Chat GPT to
Write Driving Questions
● Discussion
● Wrapping up, Exit Ticket [8 min]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)