·AI & ChatGPT
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.
accuracy
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·AI & ChatGPT
Module 10 Lesson 1: Evaluating Answer Accuracy
Trust but verify. How to determine the reliability of AI outputs and cross-reference them with reality.
·AI & ChatGPT
Module 3 Lesson 2: Context Setting
How to 'ground' ChatGPT in reality by providing specific data, history, and goals.
·AI & ChatGPT
Module 3 Lesson 3: Step-by-Step Instructions
Forcing the AI to 'think' before it speaks. Breaking complex tasks into manageable sub-tasks.
·Agentic AI
Module 12 Lesson 2: Prompt Engineering for Accuracy
Words that matter. Advanced prompting techniques like Chain-of-Thought and Few-Shot that reduce agentic errors by 40%.
·Agentic AI
Module 12 Wrap-up: Engineering for 99% Accuracy
Hands-on: Build a self-correcting agent loop that uses Pydantic to validate outputs.
·AI & LLMs
Module 9 Lesson 5: Reducing Hallucinations
Stick to the facts. Techniques to prevent local AI from making up information.
·AI & Machine Learning
Module 7 Lesson 7: Evaluating Models (Accuracy, Precision, Recall)
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.