Crafting meaningful interactions can often feel like an intricate puzzle. The key component that ties this complexity together is the ability to manage, structure, and optimize prompts.
Integrating LLMs into complex application experiences presents many challenges. As task complexity increases, traditional language models often struggle with precision, context handling, and task integration, sometimes resulting in inaccurate or out-of-context outputs.
Building on our recent article about the potential of AI workers, we look at examples of the evolution from conventional methods to AI-driven processes in regulated fields such as Information Security, Law, and Finance.