Real-World Applications of AI
Virtual Personal Assistants
- Understand voice/text
- Perform actions
- Examples: Siri, Alexa
Chatbots
- Customer service
- Answer questions
- Resolve issues
Robotic Process Automation (RPA)
- Automates repetitive tasks
- Interacts with systems like humans
Examples:
- Form filling
- Data extraction
Recommendation Systems
- Suggest products/content
- Based on behaviour
Examples:
- Netflix
- Amazon
- Spotify
Recognition Systems
- Speech → text
- Image → object detection
- Face recognition
Used in:
- Security
- Self-driving cars
Prompts – The Core of AI Interaction
A prompt is the input you give to the AI.
The output depends heavily on prompt quality.
Good Prompting Principles
- Clarity → Be specific
- Context → Provide necessary background
- Relevance → Stay on task
- Brevity → Keep it concise
- Structure → Organise clearly
- Tone → Match desired output
- Iteration → Improve over time
Prompting Methods
Prompt Completion
- AI continues text
Chat Completion
- Conversational replies
Roles in AI Communication
User
- Provides input
Assistant
- AI responding
System
- Sets rules:
- Tone
- Context
- Behaviour
AI Parameters – Controlling Output
Temperature
Controls creativity:
- 0.0–0.3 → Precise
- 0.4–0.7 → Balanced
- 0.8–1.0 → Creative