Human-in-the-loop (HITL) frameworks play a critical role in strengthening the reliability, accuracy and accountability of generative AI systems. This article outlines the practical benefits of HITL design, including improved validation, bias mitigation and contextual decision-making in real-world deployments.
Discover how Progress Flowmon Threat Briefing combats the Chrysalis backdoor, a new supply‑chain‑targeting cyberthreat, with instant detection, actionable mitigation and retrospective analysis.
This post compares ChatGPT to traditional retrieval-augmented generation (RAG) and the Progress Agentic RAG solution, highlighting the difference between AI tools built for personal use and those designed to serve as governed knowledge layers across an organization.