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Craig Piercy
Tim Gardner Webinar 2 2025
Python data types: Collections.UserString
Does using LLMs help or hinder learning?
Should Students Disclose AI Use in Assignments?
Plagiarism, paraphrasing, and prompting
What counts as cheating? LLMs and Academic Integrity
When Not to Trust the Output – Hallucinations and Safety
The Bias Through Prompt Crafting
Designing Prompts With Ethics in Mind
Prompt Induced Harm
Bias in LLMs
Prompt Robustness and Consistency Challenges
AB Testing Prompts – Empirical Iteration
Debugging Prompts – A Practical Workflow
Common Prompting Errors and How to Fix Them
Evaluating LLM Output Quality Metrics
React Prompting From Prompt to Agent
Retrieval Augmented Generation (RAG) Basics
Introduction to Function Calling in Prompts
Using System Prompts in Chat Based Models
Prompt Chaining
Formatting Prompt Outputs
Few Shot Prompting
Constraint Based Prompting
Chain of Thought Prompting
AI Role Prompting
Instruction, Input, Context—A Framework for Prompt Design
Prompt Clarity—Avoiding Ambiguity and Misfires
How Tokenization Affects Your Prompt
Zero-Shot vs One-Shot vs Few-Shot Learning