Abstract
Are you building chats and applications with Large Language Models (LLMs) but feeling like you're just guessing at what to say? A prompt is more than just a question—it's the critical instruction set that unlocks an AI's true potential. In this session, we'll demystify the art and science of prompt engineering.

We'll start by diving into the technical foundations, exploring what tokens and vector embeddings are and why they matter for model performance and cost. Then, we'll transition from theory to practice, demonstrating the core principles of effective prompting. You'll learn how to craft prompts that go beyond simple queries to deliver precise, consistent, and useful results. We'll cover practical techniques like few-shot prompting to guide model behavior and Chain-of-Thought (CoT) prompting for complex reasoning.

This isn't a high-level overview; it's a hands-on guide for developers, data scientists, and engineers looking to master the essential skill of communicating with AI.

Target Audience
This session is designed for technical professionals, including:
- Software Developers
- Data Scientists and Analysts
- Machine Learning Engineers
- AI/ML Practitioners