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.
We will explore how the synergetic integration of Generative AI with Explainable AI is beneficial and essential for harnessing the full spectrum of AI’s capabilities responsibly and ethically.
Adversarial inputs, which are manipulative data injections designed to deceive AI models into making errors or producing unintended outputs, represent a significant and growing threat.