AI Engineer - Learn how to integrate AI into software applications
AI Adoption - Drive Business Value and Organizational Impact
Overview
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Explore the capabilities of Large Language Models (LLMs) with tools in this 25-minute tutorial video that serves as the second installment in an AI agents series. Learn the fundamental differences between traditional software and AI agents, and dive deep into how tool-use functionality works with LLMs. Discover two primary approaches to implementing tools: through prompting and fine-tuning techniques. Follow along with a practical YouTube Video Agent example built using OpenAI's Agents SDK, complete with a live demonstration. The video includes comprehensive timestamps covering the introduction, conceptual explanations, implementation methods, coding example, demo, and future directions. Access supplementary resources including a detailed blog post and GitHub code repository to enhance your understanding of how tools can significantly improve LLM capabilities for practical applications.
Syllabus
Intro - 0:00
Traditional Software vs Agents - 0:26
How does Tool-use Work? - 3:38
Way 1: Prompting - 7:35
Way 2: Fine-tuning - 11:06
Example: YouTube Video Agent - 12:15
Demo - 22:10
What's Next? - 23:38
Taught by
Shaw Talebi