Guardrails and Safety – prompt injection, content moderation
Introduction to Guardrails and Safety
In the previous lesson, we took a working AI application and improved the way it was structured, tested, documented, and managed.
But professional development is not only about clean code.
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We protected the system against prompt injection, added content moderation, restricted access to sensitive resources, and checked model outputs before returning them to the user.
In the next lesson, we will focus on another production concern: Cost Optimization and Token Management, and look at practical ways to reduce unnecessary model usage while keeping the application effective.
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