Model, Context, Prompt

🤖 Understanding AI Models

Definition & Core Components

• AI models and how they work
• Training Data, Neural Networks, and Pattern Recognition

The Growing AI Ecosystem

• Model parameters and capabilities
• Types of models and their uses

AI in Everyday

• Real World Applications

💭 Mastering the Art of Prompting

Definition & Basics

• Prompting and why it matters

Effective Prompt Fundamentals

• Using precise, unambiguous language
• Leveraging action-oriented keywords
• Providing relevant background

AI in Everyday

• Prompt Chaining
• Real World Metaprompts

🔍 The Power of Context

Definition & Basics

• Context providing additional information

The Context Window

• Token limits and model memory capabilities

Context is King

• Model Context Protocol (MCP) a universal connector

AI in Everyday

• Github Copilot MCP

⚡ Putting it all Together

AI in Everyday

• Agents creating Agents