What is AI?
Artificial Intelligence (AI) is the field of technology
where machines and systems are developed
to perform tasks requiring human-like intelligence.
AI can be trained to perform tasks
Examples of AI in Daily Life
AI is everywhere around us
Recommendation systems: Platforms like Netflix, YouTube, and Spotify
Social media: AI helps filter content on social media
How AI Works
Machine Learning (ML) is one of the most popular and efficient methods.
Note: Machine Learning (ML) is a subset of artificial intelligence that allows a machine or system to automatically learn and improve from large datasets without being explicitly programmed.
You can think of ML as a process similar
to how humans learn from experience.
Machine learning algorithms improve over time
as they are exposed to more data.
While ML is a common approach, another
widely used method in AI is Deep Learning.
Note:
Deep Learning is a subset of machine learning
Deep learning models rely on neural networks
made up of layers of nodes
How Does AI Learn?
As we mentioned before, when using ML,
AI learns by training on large datasets.
Note:
Training data is key for AI to learn.
The more relevant examples it receives,
the better it becomes at understanding patterns and making accurate predictions.
The AI's learning process can be broken down into four steps:
| Data collection | Model training | Evaluation and Tuning | Inference |
What is Generative AI?
Generative AI (GenAI) is a subset of artificial intelligence that focuses on creating new content
Generative AI goes beyond traditional machine learning.
Generative AI systems also actively create new data
Types of generated content
How Generative AI Works
Generative AI models build on the foundations of deep learning to extract patterns within data and then use this learned information to create entirely new outputs.
The same principle applies to the model generating text, code, audio, or other content:
it learns the underlying patterns and rules from its training data
Examples of Generative AI
Real-world examples of Generative AI tools that leverage these techniques
| OpenAI ChatGPT | DALL-E | Github Copilot |
|---|
Get Started with Generative AI
Follow this guide
which provides a structured introduction to Gen AI
- Core concepts and terminology
- Step-by-step prompting strategies
- Best practices and common pitfalls
- Real-world applications and examples
Fundamentals of ChatGPT
Practical applications in various fields
Integration strategies for daily workflows
Start experimenting with popular Generative AI tools:
ChatGPT for text generation and conversations
| DALL-E / Midjourney for image creation | GitHub Copilot for coding assistance |
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