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Understanding the world of AI
Introduction to GenAI
Learning Outcome
4
Recognize the "Hallucination" factor and why human oversight is still required.
3
Explore "Modalities": How GenAI creates text,images,code,and audio.
2
Identify the core engine of GenAI: Large Language Models (LLMs) and Diffusion Models.
1
Define Generative AI and distinguish it from traditional Predictive AI.
Recall
The Shift to GenAI:
- Instead of saying "This is a car," GenAI says: "I will draw you a car that has never existed before."
We are moving from AI that labels the world to AI that augments the world.
- So far, we've focused on Discriminative AI.
- It looks at a car and says: "This is a Sedan" or "This car will sell for $20,000."
- Key Idea: It classifies and predicts based on existing patterns.
Revisiting: The "Discriminative" World
Recall
We are moving from AI that labels the world to AI that augments the world.
.
Revisiting: The "Discriminative" World
- So far, we've focused on Discriminative AI.
- It looks at a car and says: "This is a Sedan" or "This car will sell for $20,000."
- Key Idea: It classifies and predicts based on existing patterns.
The Shift to GenAI:
- Instead of saying "This is a car," GenAI says: "I will draw you a car that has never existed before."
Recall
We are moving from AI that labels the world to AI that augments the world.
.
Revisiting: The "Discriminative" World
- So far, we've focused on Discriminative AI.
- It looks at a car and says: "This is a Sedan" or "This car will sell for $20,000."
- Key Idea: It classifies and predicts based on existing patterns.
.
The Shift to GenAI:
- Instead of saying "This is a car," GenAI says: "I will draw you a car that has never existed before."
Recall
We are moving from AI that labels the world to AI that augments the world.
.
Revisiting: The "Discriminative" World
- So far, we've focused on Discriminative AI.
- It looks at a car and says: "This is a Sedan" or "This car will sell for $20,000."
- Key Idea: It classifies and predicts based on existing patterns.
.
The Shift to GenAI:
- Instead of saying "This is a car," GenAI says: "I will draw you a car that has never existed before."
Analogy
The "Infinity Library"
Imagine a library that doesn't just store books but writes a new one every time you ask a question.
Imagine an architect who can sketch 1,000 different building designs in 10 seconds based on the word "Modernist Treehouse."
We have moved from searching information to creating new possibilities.
From
Search → to Synthesis.
The Logic of Creation
How can a machine "Create"?
It doesn't actually "think" or "feel."
It calculates the probability of what should come next.
If I say "The cat sat on the...", the machine knows there is a 90% probability the next word is "mat."
When you scale this probability to billions of parameters, the machine begins to simulate human-like creativity.
We’re no longer just writing code; we’re teaching ourselves to think smartly.
What is Generative AI?
What is Generative AI?
The Core Mechanism:
Input (Prompt):
The Model:
Output:
A human-language instruction.
A transformer-based "brain" that maps the prompt to a high-dimensional space.
New data that is statistically similar but not identical to the training data.
A type of Artificial Intelligence capable of generating new content-text, images, audio, or video-by learning the underlying patterns of existing data.
LLMs and Diffusion Models
Large Language Models (LLMs):
.
- The Word Kings: Master of text and code. (e.g., ChatGPT, Claude, Gemini).
- Uses "Next Token Prediction" to write essays or debug Python code.
Diffusion Models:
.
-
The Visual Artists: Masters of pixels. (e.g., Midjourney, DALL-E).
- Starts with "Static/Noise" and slowly refines it into a clear image based on your prompt.
The "Big Four" Modalities
Text-to-Image:
Creating photorealistic art or marketing assets from a sentence.
Text-to-Code:
Turning "Build me a login page" into functional HTML/CSS.
Text-to-Text:
Chatbots, summarization, and creative writing.
Text-to-Audio/Video:
Creating music, voice-overs, or short cinematic clips.
A Critical Warning: The "Hallucination"
The "Confident Liar": Because GenAI is a probability engine, it can sometimes generate facts that sound perfectly true but are completely made up.
The Lesson: GenAI is a "Co-pilot," not the "Pilot."
Rule of Thumb: Always verify the "Logic" with the "Data" (the EDA and ML skills you've already learned!).
A Critical Warning: The "Hallucination"
Summary
4
Human oversight is essential to ensure accuracy and reliability.
3
It significantly boosts creativity and productivity.
2
Generative AI is built on powerful models like Transformers and Diffusion Networks.
1
Predictive AI analyzes reality; Generative AI creates possibilities.
Quiz
When a Generative AI model provides an answer that is factually incorrect but sounds very convincing, what is this called?
A. Optimization
B. Feature Extraction
C. Hallucination
D. Overfitting
Quiz
When a Generative AI model provides an answer that is factually incorrect but sounds very convincing, what is this called?
A. Optimization
B. Feature Extraction
C. Hallucination
D. Overfitting
Artificial Intelligence- Introduction to GenAI
By Content ITV
