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Model Behavior, Safety, and Prompt Control
In this lab, you will explore how prompt design, generation settings, and safety controls influence generative AI behavior using Agent Platform. By experimenting with prompts, temperature, token limits, few-shot examples, and safety filters, you will learn how to produce more consistent, reliable, and business-appropriate AI responses without writing code or retraining models.
Lab Info
Table of Contents
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Challenge
Test model hallucination using open-ended prompts
Explore how open-ended prompts can cause a model to generate inaccurate or unsupported information and learn how to identify these responses.
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Challenge
Adjust temperature and token limits to control response behavior
Experiment with temperature and token limits to observe how these settings affect response creativity, consistency, and length.
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Challenge
Apply few-shot examples to guide tone and style
Use example inputs and responses to demonstrate the desired tone, structure, and style for an AI agent to follow
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Challenge
Configure safety filters to block unsafe or inappropriate content
Configure and test safety filters to control potentially harmful or inappropriate model responses based on application requirements
About the author
Real skill practice before real-world application
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
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