
Module 1 Lesson 4: Understanding Capabilities and Limitations
Know what ChatGPT can do, and more importantly, what it cannot do. Avoid common pitfalls like hallucinations and memory limits.
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Know what ChatGPT can do, and more importantly, what it cannot do. Avoid common pitfalls like hallucinations and memory limits.

Trust but verify. How to determine the reliability of AI outputs and cross-reference them with reality.

How to 'ground' ChatGPT in reality by providing specific data, history, and goals.

Forcing the AI to 'think' before it speaks. Breaking complex tasks into manageable sub-tasks.
Words that matter. Advanced prompting techniques like Chain-of-Thought and Few-Shot that reduce agentic errors by 40%.
Hands-on: Build a self-correcting agent loop that uses Pydantic to validate outputs.
Stick to the facts. Techniques to prevent local AI from making up information.
Is your AI actually good? Learn how to look beyond 'Accuracy' and understand 'Precision' and 'Recall' to ensure your model isn't missing critical patterns.