SlideShare a Scribd company logo
How to Teach and
Learn with ChatGPT:
AI and new horizons for
assistive technologies
Dominik Lukes, EduTools.fyi
Lots of
developments since
we scheduled the
session
What has changed
Bing
Chat
GPT-4
Google
Bard
Office
‘Co-
Pilot’s
GPT-4
Plugins
bit.ly/academic-ai-newsletter
https://bit.ly/academic-ai-newsletter

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ChatGPT is a cutting-edge AI chatbot developed by OpenAI using their GPT-3 models. It was trained on vast amounts of internet data like Reddit to understand human conversation. While powerful for language tasks, it has limitations as it can provide incorrect answers depending on the input quality. ChatGPT serves different purposes than Google Search and cannot replace it, but can be used for tasks like content creation, translation, summarization, question answering, and more.

aichatgptmachine learning
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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/

problems with chatgptproblems of chatgptlimitations of chatgpt
Unlocking the Power of ChatGPT
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What is ChatGPT and how can we use it? This is a talk given at Affiliate Summit West -- January 2023 to explain what ChatGPT is and isn't and how we can use it in Search. All images were created using Dall-e.

chatgptopenaiai
Poll:
What is your experience
with ChatGPT?
Poll: Experience?
Use it every day
Played around with it
Heard a LOT about it
I heard something about it
Comparison from a recent talk
Poll:
What do you think AI
might be best at?

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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.

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The document appears to be a presentation about ChatGPT and its capabilities. It discusses ChatGPT's uses for writing books, programming, and answering questions. It also covers Microsoft's investments in AI over time, demonstrations of using ChatGPT with Office 365, and the potential impacts of ChatGPT and AI technologies on society.

chatchatgptppt
CHATGPT.pptx
CHATGPT.pptxCHATGPT.pptx
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GPT-4 is the newest version of OpenAI's language model that can understand and generate natural language. It shows improvements over GPT-3.5 in its ability to take visual inputs, be steered more precisely by the user, refuse unsafe requests, and score higher on factual benchmarks. Potential applications of GPT-4 include customer service, translation, content creation, and research. However, its adoption may displace some jobs and raises ethical issues that need addressing through education, job retraining, and responsible development of the technology.

gpt 4chatgptopen ai
What do you think AI might be best at?
Looking up facts
Performing complex calculations
Writing computer code based on text
Making complex decisions from data
Writing poetry
Making beautiful art
Comparison with a recent talk
What it is actually
good at?
Nobody expected AI to be any good at this

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chatgptai chatbot developmentchatgpt developer
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This document summarizes a presentation given by Professor Pekka Abrahamsson on how ChatGPT and AI-assisted coding is profoundly changing software engineering. The presentation covers several key points: - ChatGPT and AI tools like Copilot are beginning to be adopted in software engineering to provide code snippets, answers to technical questions, and assist with debugging, but issues around code ownership, reliability, and security need to be addressed. - Early studies show potential benefits of ChatGPT for tasks like software testing education, code quality improvement, and requirements elicitation, but more research is still needed. - Prompt engineering techniques can help maximize the usefulness of ChatGPT for software engineering tasks. Overall, AI

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In the US, people are already implementing the use of converstaionl AI, ChatGPT in everydy mundane tasks. Implementation is not only limited to that. Various industries are also using this revolutionary technology for maintaining a superior customer experience. People are also criticizing ChatGPT for creating employment threats and also being unethical in it's answers. The technology is being widely applauded but everything has certain pain points associated with it.

aiopenaichatgpt
Or this
We thought AI could do this
But it is also unexpectedly good at this
How do we know what
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bad at?

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This document provides a technical introduction to large language models (LLMs). It explains that LLMs are based on simple probabilities derived from their massive training corpora, containing trillions of examples. The document then discusses several key aspects of how LLMs work, including that they function as a form of "lossy text compression" by encoding patterns and relationships in their training data. It also outlines some of the key elements in the architecture and training of the most advanced LLMs, such as GPT-4, focusing on their huge scale, transformer architecture, and use of reinforcement learning from human feedback.

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The document discusses AI tools for software testing such as ChatGPT, Github Copilot, and Applitools Visual AI. It provides an overview of each tool and how they can help with testing tasks like test automation, debugging, and handling dynamic content. The document also covers potential challenges with AI like data privacy issues and tools having superficial knowledge. It emphasizes that AI should be used as an assistance to humans rather than replacing them and that finding the right balance and application of tools is important.

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This document discusses using ChatGPT to plan a meetup session. It provides an agenda for exploring ChatGPT's capabilities, including finding a title, writing marketing copies, social posts, an email sequence, and presentation slides. Attendees are invited to share their experiences interacting with ChatGPT. The next event is announced as focusing on using ChatGPT for email marketing.

chatgpt vancouverchatgpt 101
We have evaluate it
systematically. Almost as a
new organism.
Hofstadter, 1979: Questions
Question:
Will a thinking computer be able
to add fast?
Hofstadter, 1979, Speculations
Speculation:
Perhaps not. We ourselves are
composed of hardware which
does fancy calculations but that
doesn't mean that our symbol
level, where "we" are, knows
how to carry out the same fancy
calculations.
Let’s keep this in mind

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This document provides an overview of Chat GPT, an AI tool launched in November 2022 by OpenAI. It discusses that Chat GPT allows for conversational dialogues and aims to give accurate answers while admitting mistakes. The document notes that Chat GPT was trained on huge amounts of online text data to generate human-like responses. Potential uses of Chat GPT discussed include powering virtual customer service agents, personal assistants, social media moderation, and improving machine translation.

chat gptai botthiyagusuriya
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The document discusses advances in large language models from GPT-1 to the potential capabilities of GPT-4, including its ability to simulate human behavior, demonstrate sparks of artificial general intelligence, and generate virtual identities. It also provides tips on how to effectively prompt ChatGPT through techniques like prompt engineering, giving context and examples, and different response formats.

gptgpt4gpt3
What ChatGPT can
do for YOU?
Better at poetry than math
still means it can be
incredibly useful.
Anyone can use it to help with reading
A student
can use this
for help

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chatgptintroduction to chatgptwhat is chatgpt?
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ChatGPT is an AI system built using transformer models that can answer questions based on its training, but has limitations. It does not actually reason or have a memory, but rather predicts responses based on the input text and its training. While it can provide lengthy and detailed-seeming responses, it is ultimately limited by its context window size and lacks the ability to learn new information or recall facts from its training. Users are advised to provide examples and context to prompts to help guide ChatGPT's responses and interpret results as autocomplete suggestions rather than verified facts.

chatgpteducation
A teacher
can use it
to create
tools
There are limits but also,
we can use it to assist us
in real ways. But we
should understand what it
is doing.
5 Things about
ChatGPT in 15(ish)
Minutes
Dominik.Lukes@ctl.ox.ac.uk
5 things
about
ChatGPT in
15 minutes
It has many building blocks
It does not reason, it predicts
It is limited by the context
window
It has no database, copy or
paste or memory
It does not learn but you can
correct it

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Building blocks of
modern AI
What does ChatGPT stand for?
Chat
answers questions rather than
continues
G - generative
creates strings rather than
labels
P - pretrained
can be fine-tuned on much less
data
T - transformer
can be trained to predict from
long context
Foundation
model
Building blocks of the AI revolution
Foundation Models
Products
ChatGPT Consensus …
Features
Notion … PowerPoint… …
How to Teach and Learn with ChatGPT - BETT 2023

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prof dp sharmachatgpt
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ChatGPT.pdfChatGPT.pdf
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chatgpt
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Chat GPT is an AI chatbot system released by OpenAI in November 2022 that can answer questions using its vast database of internet text. It was trained using reinforcement learning from human feedback on 570GB of text. While Chat GPT can be helpful, it has limitations like occasionally providing incorrect answers and having a limit of 60-70 questions per hour. It marks progress in natural language processing, but still lacks critical thinking skills.

technology
Building blocks of a product
Foundation Model API
Fine tuning on
custom data
Consensus
(OpenAI)
Notion
(Anthropic)
Smart Reply
(Google)
Finetuning by
human feedback
ChatGPT
(Open AI)
Claude
(Anthropic)
Bard (Google)
Custom
Workflow /
Interface
TeacherMatic LangChain…
For example Consensus (now with GPT-4)
ChatGPT is just another product on top of GPT
All of these work the same way

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Session slides that provide insight, new ideas, and practical uses of ChatGPT. This session dove into how I am using these AI mechanisms to support a large Information Development team, including translators. I show the ways my colleagues are using ChatGPT to increase productivity, speed up content migrations, improve content quality, plus more. I’ll touched on the plan to use ChatGPT to add additional automation.

generative aiiacontent
Big API providers
OpenAI
Anthropic
Google Amazon
Microsoft
Meta
Although there are many smaller ones on HuggingFace
Thousands API customers
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chatbotsnatural language processingartificial intelligence
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Artificial intelligence and conversational search are having their big moment right now, and it’s easy to see why. Its relevant to all of us. Its potential to enhance our daily lives is the foundation of its widespread adoption…but measuring our satisfaction correctly *in the moment* is the key to its ultimate success – or failure. The future of search lies in the ability of conversational UI to make human-to-computer interactions correct, relevant and useful. The satisfaction metric is the key to moving search ahead, making personal AI assistants essential sidekicks in everyday life. The more our personal AIs “get” us, the more we want to talk with them. In this session, Ozlo’s Principal Engineering Lead Heidi Young, who has lived and breathed search for more than 10 years, will discuss how the success of AI-driven assistants – and their ability to enhance our lives – depends on a specific satisfaction metric. By breaking down human-to-computer interactions and focusing on immediate feedback loops (micro-level metrics) instead of solely on lagging indicators (macro-level metrics), satisfaction is more effectively measured. This type of engagement is a game-changer is measuring satisfaction and indicating happiness. It should be a top priority of AI architects, since users who have positively ending conversations come back. This is the key to the new personal AI assistant revolution.

seattle interactive conferenceheidi youngfuture
Always ask what API a
product uses!
It does not reason, it
predicts
It is easy to be deceived
by appearances.
ChatGPT can do this

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The document discusses artificial intelligence (AI) and how it may impact lives in the near future. It provides six bullet points predicting how AI could: 1) improve efficiency and productivity, 2) enhance decision-making, 3) enhance personalization, 4) improve healthcare, 5) improve transportation, and 6) improve education. AI has potential to automate tasks, provide insights, personalize services, enable more accurate medical diagnoses, revolutionize transportation through autonomous vehicles, and improve education through personalized learning and more efficient assessment. However, the document notes AI does not have human-level sentience or ability to evolve on its own.

artificial intelligenceaichatgpt
How do we solve these
kinds of problems?
Cognition = Computation
Logic
Compare
Organise
Transform
Memory
Store
Retrieve
Something like this
How does ChatGPT solve
these kinds of problems?

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We’ve trained a model called ChatGPT which interacts conversationally. The dialogue format makes it possible for ChatGPT to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to Instruct GPT, which is trained to follow the instruction in a prompt and provide a detailed response. ChatGPT can be used for a wide range of natural language processing tasks. Some of the potential applications of ChatGPT include: ● Text generation: ChatGPT can be used to generate human-like text responses to prompts, which makes it useful for creating chatbots for customer service, generating responses to questions in online forums, or even creating personalized content for social media posts. ● Language translation: ChatGPT can also be used for language translation tasks. By providing the model with a text prompt in one language and specifying the target language, the model can generate accurate and fluent translations of the text. ● Text summarization: ChatGPT can be used to generate summaries of long documents or articles. This can be useful for quickly getting an overview of a text without having to read the entire document. ● Sentiment analysis: ChatGPT can be used to analyze the sentiment of a given text. This can be useful for understanding the overall tone and emotion of a piece of writing, or for detecting the sentiment of customer feedback to improve customer satisfaction. ● Overall, ChatGPT is a versatile tool that can be used for a wide range of natural language processing tasks. The specific applications of the model will depend on the needs and goals of the user.

chatgbtsoftwaremicrosoft
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messagingseattle interactivechatbots
Heidi Young, Ozlo VP of Engineering, Seattle Interactive 2016
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chatbotsozloengineering
ChatGPT does not have cognition or computation
Logic
Compare
Organise
Transform
Memory
Store
Retrieve
ChatGPT Process
Break all
preceding text
into tokens
Assign each
token number
Predict next
token
Repeat with
the new token
What and why of
tokens? And why it
matters. A lot!
How we see text?
Humans
Letters
Words
Sentences
Paragraphs
Texts
ChatGPT
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Actually, this is what ChatGPT sees
Unicode
Numbers are not digits, just tokens
Fun facts about OpenAI tokens
About 50,000 in total
Only 3,000 English words
Most parts of words incl. letters, spaces
About 140 tokens per 100 English words
Much more for other languages

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educationhybrid teachingdesign
Word and tokens are only accidentally identical
Unexpected consequence: More tokens more money
English
French
Czech
Chinese
Arabic
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All it is doing on the inside
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Title: Relational Database Management System Concepts(RDBMS) Description: Welcome to the comprehensive guide on Relational Database Management System (RDBMS) concepts, tailored for final year B.Sc. Computer Science students affiliated with Alagappa University. This document covers fundamental principles and advanced topics in RDBMS, offering a structured approach to understanding databases in the context of modern computing. PDF content is prepared from the text book Learn Oracle 8I by JOSE A RAMALHO. Key Topics Covered: Main Topic : DATA INTEGRITY, CREATING AND MAINTAINING A TABLE AND INDEX Sub-Topic : Data Integrity,Types of Integrity, Integrity Constraints, Primary Key, Foreign key, unique key, self referential integrity, creating and maintain a table, Modifying a table, alter a table, Deleting a table Create an Index, Alter Index, Drop Index, Function based index, obtaining information about index, Difference between ROWID and ROWNUM Target Audience: Final year B.Sc. Computer Science students at Alagappa University seeking a solid foundation in RDBMS principles for academic and practical applications. About the Author: Dr. S. Murugan is Associate Professor at Alagappa Government Arts College, Karaikudi. With 23 years of teaching experience in the field of Computer Science, Dr. S. Murugan has a passion for simplifying complex concepts in database management. Disclaimer: This document is intended for educational purposes only. The content presented here reflects the author’s understanding in the field of RDBMS as of 2024. Feedback and Contact Information: Your feedback is valuable! For any queries or suggestions, please contact muruganjit@agacollege.in

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Bing will give references but the information is not there
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data!
Bret Devereaux
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distilled the statistical
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ChatGPT does not even try
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ChatGPT always
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How much does
predicting the next
token get us?
Surely, it could not count
how many things are
mentioned in text just by
predicting the next token!
How good is it at counting things
How good is it at counting intentions

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How good is it at sorting?
Can it do metalanguage?
GPT-4 Improves things

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But only up to a point
But it is close
Every time you try a number try it more than once
Agrawal
Computer graphics = Cheap
arithmetic
AI = Cheap prediction

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imagine all the things
cheap arithmetic
would gets. Today, we
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cheap predictions will
bring.
Computer room in 1949
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intuitions about what
cheap arithmetic will get
us. What will cheap
prediction?
Four years ago, Google made a big announcement
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Also No idea of
spatial relations
No
understanding of
physics
No idea of social
relations
Space is a problem: Some attempts at a bicycle
Social relations are a problem
Customer:
Take me downtown Prague.
Taxi driver:
How much does the trip cost?

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It does not LEARN
live but can be
corrected
What it took to train the foundation model
21 days $1+ million
What it took to fine tune it with human feedback
X months $$$ million
But it is a few-shot learner:
It can follow examples

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Take it through a problem step by step.
Time to do some
prompt engineering
The key lesson for
practical use

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Keep 2 things in mind at once
Give it prompts
as to a human
being
Interpret the
results as if
autocomplete
What ChatGPT can do is a
matter of experimentation.
Prompt engineering
should aim towards giving
more examples and
context.
Key lessons from prompt engineers
Narrow down
context
1
Give
examples
2
Specify style
3
Specify
persona
4
Ask for
corrections
5

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Don’t just ask, don’t just
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Iterate!
Or in the words of ChatGPT
LearnPrompting
Three levels of editing
Shallow
prompt
Fine-
tuned
prompt
Co-
editing

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Chain of Thought Prompts
Chain of Thought =
more accuracy
easier review
But it can do this
And this
Asking for structure is
better than prose!

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Outlines
are very
context-
based
You can convert them into
interactive things
Asking for concepts and examples
Asking for timelines better than narratives

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Asking to adopt a
persona is also
very useful,
You can even have a back and forth
Where to learn
more?
Edutools.FYI

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bit.ly/academic-ai-newsletter
https://bit.ly/academic-ai-newsletter
Tools change,
people remain the
same
EduTools.fyi
This presentation is licensed
under Creative Commons By
Attribution license except where
otherwise noted.
Icons and stock photos licensed
under Microsoft Premium
Content and cannot be reused
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How to Teach and Learn with ChatGPT - BETT 2023

Editor's Notes

  1. There's An AI For That - Find AI Tools Using AI (theresanaiforthat.com)
  2. Future Tools - Find The Exact AI Tool For Your Needs https://www.futuretools.io/
  3. OpenAI API
  4. 6 out of 10 correct.
  5. 6 out of 10 correct.
  6. http://jalammar.github.io/illustrated-word2vec/
  7. What Is ChatGPT Doing … and Why Does It Work?—Stephen Wolfram Writings
  8. https://medium.com/plotly/understanding-word-embedding-arithmetic-why-theres-no-single-answer-to-king-man-woman-cd2760e2cb7f
  9. From Stephen Wolfram
  10. “Replace AI with cheap prediction.” Agrawal https://www.youtube.com/watch?v=Q4o56nufXTw
  11. Human computers - Dryden - Computer (occupation) – Wikipedia https://en.wikipedia.org/wiki/Computer_(occupation)#/media/File:Human_computers_-_Dryden.jpg
  12. https://www.blog.google/products/search/search-language-understanding-bert/
  13. https://learnprompting.org/