Home / Resources / ISACA Journal / Issues / 2024 / Volume 6 / Steering LLMs Toward Desired Outputs With Prompt Engineering

Steering LLMs Toward Desired Outputs With Prompt Engineering

Data Abuse in Cyberwarfare: Dissecting the Attack Model
Author: Lalit Chourey
Date Published: 4 December 2024
Read Time: 10 minutes
Related: Artificial Intelligence: A Primer on Machine Learning, Deep Learning, and Neural Networks | Digital | English

Large language models (LLMs) have shown exceptional capabilities in understanding and generating human-like text, underpinning major advances in natural language processing (NLP). The efficacy of these models in specific tasks often hinges on the construction of the input prompts—a practice known as prompt engineering...

 

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