Session 1 - Introduction to AI_Emmersive_Handouts.pdf

Session 1 - Introduction to AI_Emmersive_Handouts.pdf

• 1.
  19-Jul-23 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
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  19-Jul-23 1. Introduction toAI 1. Introduction to AI Dawn of The Planet of AI Dawn 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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  19-Jul-23 Why do weneed 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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  19-Jul-23 AI is aSoftware …that can Learn It doesn’t need to be installed on a Robot
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  19-Jul-23 Source: Google MLTraining Chess, Go NLP: Conversational AI, Translation Vision AI Generative AI: Art, music, poetry
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  19-Jul-23 Is AI theSame as ML? Artificial Intelligence Artificial Intelligence Machine Learning Machine 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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  19-Jul-23 Can AI becomeGeneral?
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  19-Jul-23 Let’s move upthe Maslow Pyramid But Intelligence is not only about Language
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  19-Jul-23 A Brief Historyof AI A 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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  19-Jul-23 Very difficult Prompt Verydifficult Prompt Very difficult: Anti-joke Very difficult: Anti-joke Model: PaLM by Google Model: PaLM by 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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  19-Jul-23 • On September2020, 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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  19-Jul-23 What about theFuture? Future
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  19-Jul-23 Future • IN 2040,there’s a 50% chance that an AI matching the human brain will be developed