Session 1 - Introduction to AI_Emmersive_Handouts.pdf

Introduction to AI

1. 19-Jul-23
1
Opening Remarks
Course Outline –Day 1
Introduction to AI
AI , Big Data &other Emerging Tech
Real Life Applications of AI -Industries
Machine Learning
AI & ML Landscape
Course Outline –Day 2
Generative AI -Conversational
Generative AI –Images –Video -Audio
Generative AI –3 –Work, Email, PPT, Excel,
Generative AI –4 –Other Applications
Responsible & Ethical AI

2. 19-Jul-23
2
1. Introduction to AI1. Introduction to AI
Dawn of The Planet of AIDawn of The Planet of AI
We could witness the first non organic life form in 4 Billion years –
Yuval Noah Harari

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Why do we need to study AI
•Because it’s a tool that will define the future
•Because it can be used for good and for evil
•Because it will impact the way we live
•Because it will impact the way we work
What’s NOT an AI ?

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AI is a Software…that can Learn
It doesn’t need to be installed
on a Robot

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Source: Google ML Training
Chess, Go
NLP: Conversational AI, Translation
Vision AI
Generative AI: Art, music, poetry

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Is AI the Same as ML?
Artificial IntelligenceArtificial Intelligence
Machine LearningMachine Learning
Deep
Learning
How do you make a Machine Learn?
1. Collect
Data
1. Collect
Data
2. Build
Model
2. Build
Model
3. Train
Model
3. Train
Model
4. Deploy
Model
4. Deploy
Model
5. Test &
Iterate
5. Test &
Iterate
Model = AI
Software = AI
Algorithm
Model = AI
Software = AI
Algorithm

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Can AI become General?

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Let’s move up the Maslow Pyramid
But Intelligence is not only about
Language

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A Brief History of AIA Brief History of AI
AI is not New
•Auto complete features in email
•Spam Filtering
•Virtual Assistant: Siri, Ok Google
•Content Recommendation
•Netflix recommendation
•YouTube video recommendation
•Machine Translation: Google Translate
•Amazon shopping recommendation
•Computer Vision
•Face recognition on Facebook/ google images
•Manufacturing Defects Detection
•Social Media
•The Filter Bubble
•The Social Dilemma Movie -2020
AI Timeline

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Very difficult PromptVery difficult Prompt
Very difficult:
Anti-joke
Very difficult:
Anti-joke
Model: PaLMby GoogleModel: PaLMby Google
Applications of Language
based AI models:
•Email Auto complete
•Auto Translation of
large texts
•Video Transcribing
•Generating large
essays
•Summarizing books
•Automated Journalism

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•On September 2020, the Guardian published an article written
entirely by Ai (GPT-3)
•Here’s the article
The 3 Key factors in AI Training
•These 3 factors determine the AI
Capability
1.Training Computation: FLOPs:
Floating Point Operations:
2.Number of Data Points: Images,
Words, etc.
3.Algorithms
•The following graphs will show
the evolution of these factors
over time
The Rise of
AI over 8
decades
•Last 10 Years
•Doubling every 6
months
•GPUs & TPUs
•Last 10 Years
•Doubling every 6
months
•GPUs & TPUs
•First 60 Years
•Doubling every 1.5-2
years -Moore’s Law
•CPUs
•First 60 Years
•Doubling every 1.5-2
years -Moore’s Law
•CPUs

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What about the Future?
Future

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Future
•IN 2040, there’s a 50% chance that an AI matching the human brain
will be developed