From the course: The AI-Driven Cybersecurity Analyst

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Advanced prompt engineering and productivity tips

Advanced prompt engineering and productivity tips

From the course: The AI-Driven Cybersecurity Analyst

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Advanced prompt engineering and productivity tips

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- [Instructor] Now if you want to take prompt engineering to the next level, understanding LLM parameters and hyper parameters will help you fine tune and master your prompts. Here's some key parameters that influence AI responses. I'll walk you through it in LM Studio. First, system prompt. By adjusting the system prompt, users can control how the model reacts to different prompts, making it more informative, creative, or factual, depending on the desired outcome. A system prompt is a set of instructions or context that guides the behavior of the LLM during interactions. It lets users customize the tone and expected response style for the model based on the input. One of my favorite use cases for system prompts, sometimes referred to as pre prompts, is to help create accurate tailored threat hunting queries. When you ask an AI tool for help creating a query, it doesn't have knowledge of your system's field names or data types. Every time you interact with the AI tool, you could…

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