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No-Code AI Blog

Human-in-the-Loop (HITL) validation is critical to ensuring AI model outputs meet the highest standards of accuracy, compliance, and usability. Generative AI Lab is purpose-built to empower annotation teams to validate AI results efficiently and confidently. Our latest updates bring tangible improvements to how teams assign tasks, manage resources, and validate sensitive information—accelerating workflows, minimizing manual errors, and improving overall annotation quality.

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Human-in-the-Loop (HITL) validation is critical to ensuring AI model outputs meet the highest standards of accuracy, compliance, and usability. Generative AI Lab is purpose-built to empower annotation teams to validate...

In the era of large language models (LLMs)—where generative AI can write, summarize, translate, and even reason across complex documents—the function of data annotation has shifted dramatically. What was once...

Introduction Healthcare organizations are under increasing pressure to improve the accuracy and efficiency of clinical documentation and risk adjustment. With the rise of value-based care, Hierarchical Condition Category (HCC) coding...

John Snow Labs, the AI for healthcare company, today announced the release of Generative AI...

John Snow Labs, the AI for healthcare company, is now incorporating select Guideline Central content,...