A lot of the conversation in AI among educators is whether it is good or bad for education. The larger point we are missing is that AI will be used by students when they join the industry for sure. So, why not embrace this change and adapt to this change in a big way. This presentation will give you thought starters on how to navigate the world of AI! This was part of a Faculty training program I conducted at a School of Management in Navi Mumbai!
Capitol Tech U Doctoral Presentation - April 2024.pptx
Latest in AI for academicians
1. Latest in AI for
Academicians
Siddhesh Joglekar, CEO –
Programming Hub
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2. Agenda
• 2023 - The year of Generative AI – What has changed?
• Prompt engineering – the in-skill for the year
• AI use cases in Academics
• Some practical examples
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3. Why Prompt Engineering
• Prompt engineering is crucial because the quality of the AI's response is
highly dependent on the input it receives. By mastering prompt engineering,
you can:
1.Improve AI's understanding of your request
2.Get more accurate and relevant results
3.Save time and effort spent on refining AI outputs
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4. Key techniques
Prompt Priming:
Providing context or
background
information to guide
the AI's response.
Chain of Thought
Prompting: Breaking
down complex
prompts into simpler,
smaller prompts.
Role Play Prompting:
Assigning a specific
role or persona to the
AI model to guide its
response.
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5. Prompt
Priming
• Prompt priming is the process of providing context
or background information to guide the AI model's
response. By giving the AI a better understanding
of the prompt, you can significantly improve the
quality of its output.
• Example:
• Without priming: "What is the impact of electric
cars on the environment?"
• With priming: "Considering Tesla's
advancements in electric car technology and the
reduction in greenhouse gas emissions, what is
the impact of their electric cars on the
environment?"
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6. Chain of thoughts prompting
• Chain of thought prompts involve breaking down complex prompts into a series of
simpler, smaller prompts. This technique helps the AI model to process the
information more effectively and provide a well-structured response.
• Example:
• Single complex prompt: "Explain the process of photosynthesis and its
importance for life on Earth."
• Chain of thought prompts:
1. "What is photosynthesis?"
2. "How does photosynthesis work?"
3. "Why is photosynthesis essential for life on Earth?"
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7. Role Play
prompts
• Role play prompts assign a specific role or persona
to the AI model to guide its response. This
technique helps to shape the tone, style, and
content of the AI's output, making it more suitable
for specific contexts or audiences.
• Example:
• Generic prompt: "What are some tips for
investing in stocks?"
• Role play prompt: "As a financial advisor,
provide five tips for beginners looking to invest
in stocks."
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8. Some
hacks I
have found
useful
Be specific: Clearly define
your requirements and
context.
Set the format: Request a
specific output structure.
Limit response length:
Request a summary or a
fixed number of points.
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9. ChatGPT applications
• Assessment and feedback automation / semi-automation
• Personalised learning – adaptive testing and learning
• Active learning with in-class debates
• Designing self paced courses for professional development
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10. DALL-E 3 inside ChatGPT
DALL-E 3 is here inside ChatGPT
This is the most powerful model by OpenAI
• Unique Features:
• Ability to blend unrelated concepts into coherent
imagery.
• Generating novel, creative visuals.
• Applications:
• Graphic design, digital art creation.
• Concept visualization for brainstorming sessions.
• Demo Prompt: "Generate an image of a futuristic
cityscape using DALL-E."
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11. Codex by OpenAI
• Introduction to Codex:
• A descendant of GPT-3,
designed for coding tasks.
• Powers GitHub’s Copilot.
• Codex is integrated inside
GPT4
• Applications:
• Assisting with code writing,
debugging, and
optimization.
• Generating code from
natural language
descriptions.
• Benefits:
• Accelerating software
development.
• Lowering the entry barrier
for non-programmers.
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12. Browse with Bing
How to do advanced analytics on tomorrow’s game
• Based on past data, tell me the top 3 players which are likely to score
the highest runs and top 3 likely to take highest wickets in tomorrow’s
world cup game between Australia and New Zealand
How to research on subjective opinions
• What does the world think of the 2 week price trends in gold?
Help with General knowledge
• Helps me teach my daughter!! Woohoo!!
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13. Travel guide
• How ChatGPT remembers your preferences
• How does ChatGPT research the latest trends
• How can ChatGPT tell you what to do next
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14. ChatGPT goes visual
• Uploading images to ChatGPT and See the Magic
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15. Monsters have
their Quarterly
review!
• A detailed illustration of a
group of classic monsters (like
Dracula, Frankenstein, and the
Mummy) attending a business
meeting. They're all looking at a
presentation board where there's
a pie chart showing "Scare
Tactics" with sections like "Jump
Scares", "Creepy Laughter", and
"Spooky Shadows".
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