Overview of Gen Ai

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Session #4
Overview of Generative AI

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Generative AI
Generative AI for Education

3. Live Demo
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• GEN AI reinvents education

4. Classification Model
Very narrowly
focused
Regression Model
Clustering Model
Association Model
Model for Anomaly Detection
etc.
Traditional AI Models
Not Generalized
What is traditional AI?
• A traditional model is not generalized, and it is very narrowly
focused.
• Models are used to perform specific tasks. A model either
categorizes or predicts continuous values.
• Neither a foundation model nor a solution to many problems in
the industry

5. Classification Model
Generative AI
Regression Model
Clustering Model
Association Model
Model for Anomaly Detection
etc.
Traditional AI Models
Large language
model (LLM)
In traditional AI, where do we stand?
The industry is evolving and wants a generalized foundation model
rather than a narrow-focused one.

6. In traditional AI, where do we stand?
Generative AI
Foundation Model
The model solves several industrial
problems.
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7. Generative AI
• Text/ Language
• Voice
• Video
• Images
Generates
• Generalized
Model
• Model of Large
Language
Model of the Foundation
Generative AI: what is it?

8. Generative AI
Prompt
Query
LLM
Pre-trained
Foundation
models: ChatGPT
Text
Code
Voice
Image
Generated Text
Response
Generated Code
Response
Generated Voice
Response
Generated Image
Response
Generative AI, a foundation deep learning model that generates language
(text), code, voice, and images based on the user prompt
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9. Large language model (LLM)
Analyzing a doctor-patient conversation
(ex: medical transcript)
Generating learning content (ex:
assessments, quizzes, assignments, etc.)
1
2
Classification of content (not just simple
text, instead a paragraph or a book, etc.)
3
Traditional Natural Language Processing (NLP) Current Natural Language Processing (NLP): LLM
Work order analysis for energy
technicians - planning and forecasting
4
Classifying words (for example, checking
for profanity)
Prediction of the next word or the
previous word
1
2
Identifying customer sentiment by
analyzing individual words
3

10. Large language model (LLM)
NLP
Traditional NLP
Large language
model (LLM)
BERT Model
Bidirectional Encoder
Representations from
Transformers (BERT)
LSTM RNN Model
Open AI
Google
PaLM
Hugging
Face
Others
Search Summarize Classify Generate Rewrite
Cohere
Generate
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11. Generative AI Learning Roadmap
Foundation
Intermediate
Advanced
 Concepts
 Data and Model Engineering
 Industrial Application
Development
Model
training
Model
testing
Model
deployment
Google
Cloud
Meta Open AI
Generative
AI
LLM
LLM
Real-world
Application
Over six months, this program covers all aspects of generative AI, from concepts to
implementation.

12. Generative AI Learning Roadmap
Fundamentals of
Generative AI and
Working with
Open AI ChatGPT
and GPT
Working with
Google Generative
AI Studio and
Introduction to
Large Language
Models
Prompt
Engineering
Fundamentals and
Introduction to
ChatGPT and GPT
Building ChatGPT
and GPT Powered
Business
Applications on
the Cloud Conversational AI
for Human
Resources:
Development of
Real-World LLM
Applications
Medical Transcript:
Development of
Healthcare
Generative AI
Applications in
Google Generative
Studio
Foundational Level Course Intermediate Level Course Advanced Level Course
Course 1 Course 2
Course 3 Course 4
Course 5 Course 6
This is the first and only comprehensive six-month course to learn
Generative AI from concept to coding to building use cases in the cloud.

13. Prompt
Vector Search for
Relevant Information
Knowledge
Base
Relevant Information
for Enhanced Context
Query
Prompt
Query
Enhanced Context
Generated Text
Response
Retrieval Augmented Generation (RAG)
Query
LLM
Pre-trained Foundation
models: ChatGPT
To optimize the foundation LLM, retrieve context-specific content based on user prompts and argue the context-
specific content to the foundation model.
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