October 2024
Intermediate to advanced
384 pages
13h 7m
English
In Chapter 3, we explored the fundamental concepts of prompt engineering with LLMs, equipping ourselves with the knowledge needed to communicate effectively with these powerful, yet sometimes biased and inconsistent models. It’s time to venture back into the realm of prompt engineering with some more advanced tips. The goal is to enhance our prompts, optimize performance, and fortify the security of our LLM-based applications.
Let’s begin our journey into advanced prompt engineering with a look at how people might take advantage of the prompts we work so hard on.
Prompt injection is a type of attack that occurs when an attacker manipulates the prompt given to an LLM to generate ...