Introduction to the Gen AI FTP Program

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Welcome Note

Srinivas Sir

• Gen AI is 100B market
• We as CSE faculty have good flexibity to introduce new courses.

Chennakesava Sir

• We started associaion with Manish jain from 2019.
• VNR priority is skill upgrading for the staff.
• Big things :Gen AI, Quantum Computing, Block Chain.
• Suggestion : Download 1-2 papers and prepare on your own.

CD Naidu Sir

• Gen AI is being used for many aspects.
• Manish Jain teaches courses across the global
• Expectation: Learn so that you can teach to all 7000+ students.

Manish Sir (Instructor)

• Worked with Infosys.
• Have Expertise in multiple areas in teaching. (Blockchain, IOT)

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Gen AI Benefits

• How to write research paper diferently.
• Little bit theory. More Practical.
• Recommended : Use multiple gmail accounts
• Research : Have lot of papers that Manish sir can share.

Tools Available

• Hugging face: Open Models for deep learnings
• Deploy your own application cloud.

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Data

Data : Collection of anything meaningful or non-meaningful . . Historical : SAP, Oracle . Realtime : IOT (smart home, car)

The data we use in Whappsapp or Social platform is aggregated and meaningful insights can be generated.

Information

Information : Meaningful data. Useful data.

Knowledge

Convert Information to Knowledge using relationships Example: Regression Model (relationship between multiple entities) Show personalised product advertisement.

AI & Its branches

These days Generative AI (ChatGPT) is getting generated with emotion added also. Prompt Engineering helps to get the right tone. This is done through context setting. GenAI uses lot of Modeling.

AI has been here for decades. But with huge data getting generated,
Floor manager is getting replaced in office work monitoring. AI is not programming, software. AI is a concept. AI has ML & DeepLearning AI : Overall framework. (Driver less car ML : Can not go in accuracy beyond one point. Deep Learning : Deep learning generaes high accuracy.

Examples

• Example1: Classroom engagement for students. The chatbot knows everything about the student. (What is status of my fee, when is my Maths class)

• Example2 TextTo -> Image,Video,Audio,Design is evolving

• TextToDesign(New): Last 40 years of data is gathered by {Requirement, Design Built} by Boeing.

• Example3 Based on curriculum, design the class planning

To be wary about

Do not depend fully on the GenAI. Review all that it generates and prompt it with right context to get the information you need from it.

Knowing GenAI is not enough. You should know below to make fullfledged product.

• Problem Space understanding
• Cloud computing
• AI knwoeldge, ML knowledge, Data Visualisation
• Robotics Process automation
• Metaverse (many institutes are explaining the concepts thru metaverse)

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OpenAI

• ChatGPT: Text to Text
• Dalle 2, 3 : Text 2 image

Prompt Engineering

• Explains what context to give.
• It has 10 different techniques.

Generative AI

• A types of AI to generate new content (text, images)
• A type of ML -> Deep Learning. A type of Reinforcement Learning
• Supervised (know input, output), Unsupervised(Know input, but not output), Reenforcements (based on feedback)

Future work on GenAI

• Gen Info collection : Contextually generate data to explain examples. text to design (email to design)
• Generate Research : Even if you do no have full context about the area, it can help do & write the research papers.
• Generate Insights
• Generate Automatons : Exam evaluation. Giving marks & explanation for marks reduction.
• Generative Innovation

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1. Define Objective : Example: Text to Image
2. Gather Preprocess Data : Gather the relavant data available
3. Select Model : That is most suitable for the objective.
4. Train the model
5. Evaluate & refine
6. Deploy & Iterate

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Hands on Exercise

Productivity Use case : Generate PPT using ChatGpt

• Geenrate content
• Generate VBA code to create Powerpoit presentation.
• Open MS PowerPoint app > View > Macro > Create > Paste the above > Save fie.
• Click on Macro : The PPT gets generated.