AIDevWorks – Prompt Engineering Mastery – Part 2: Prompt Patterns & Frameworks

Agenda
Segment 1 — Understanding How Prompts Are Parsed

• How LLMs interpret input: tokenization, attention, and context windows
• What happens inside GPT when you write a prompt
• Zero-Shot and Few-Shot Prompting — when and how to use each
• Writing clear, specific, and contextual instructions

Hands-On:
Try short prompts in OpenAI Playground or Claude.ai, observe how slight changes alter model reasoning.

Segment 2 — Prompt Patterns & Frameworks
Common patterns:

• 🎭 Role Prompting
• 🧩 Chain-of-Thought
• 🔁 ReAct (Reason + Act)
• 🌳 Tree-of-Thought
• 🧰 Hands-On:

Design prompts using different patterns. Compare outputs for quality, tone, and reasoning depth.