Beyond Accuracy: Building Trustworthy AI Systems with Context

This article highlights an exciting shift in focus for generative AI. It moves beyond simply chasing higher Large Language Model (LLM) accuracy and emphasizes building systems that are auditable and evolve with the business, leading to more reliable and trustworthy results.

• •The focus shifts from LLM accuracy to building auditable and evolving AI systems.
• •Hex's approach allows business users to define core questions, refining them into trusted workflows.
• •The system learns and adapts, creating a context system rather than static test sets or prompts.