Leveraging AI for Use Case Development
Our journey continues, shifting the focus from the infrastructure of our automations to using complementary tools to optimize our processes. At the beginning of every good detection is the development phase. There have been significant improvements in AI models and their ease of use to leverage them in our automation life cycle.
This chapter focuses on interactive and programmatic methods of using pre-built models to accelerate our detection development. We’ll learn about some of the best practices for getting the most out of the models to reduce operational costs. To solidify our knowledge, we’ll utilize a hands-on lab to tie the concepts together.
By the end of the chapter, you will be able to create automations using Large Language Models (LLMs) in a cost-effective manner to accelerate the development of custom detections. You will also be able to try out and experiment with tuning your models with an additional reference...
