Author: Kartheek Kumar
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How Feedback Loops in Human-in-the-Loop AI Improve Model Accuracy Over Time
Quick Overview This blog highlights the significance of Human-in-the-Loop (HITL) feedback loops in improving AI model accuracy. It explores the value of incorporating human oversight into the AI training and validation process to reduce errors, prevent bias, and enhance overall model performance. Key points include: Introduction In 2025, for AI implementations, accuracy isn’t just a…
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Selecting the Right Partners for Model Evaluation
In this article, we deep dive into why human-in-the-loop expertise is your model’s last line of defense. Introduction: Why Model Evaluation Is Now Mission-Critical AI is no longer confined to innovation labs – it’s making life-and-death decisions, underwriting loans, diagnosing illnesses, and shaping content that billions consume. In this high-stakes environment, model evaluation isn’t a…
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GenAI Is Evolving Fast — Why Human-in-the-Loop (HITL) Support Is More Critical Than Ever
Generative AI is in its most explosive phase yet—not just growing, but mutating. We’re no longer talking just about transformer models and text generation. In 2025, the GenAI world is buzzing with Mixture of Experts (MoE) models, self-rewarding agents, retrieval-augmented reasoning, and yes—even hybrid innovations like transfusion models. But amid all this buzz and breakthrough?…
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Ghiblification Meets Human-in-the-Loop: The People Behind the Magic of Generative AI
Over the past few weeks, an unmistakable aesthetic has been sweeping across social media a soft, watercolor-infused world that feels like it belongs in a Studio Ghibli film. Ordinary photos are being reimagined by generative AI into dreamy, emotionally rich illustrations. It’s charming, whimsical, and immensely shareable. This “ghiblification” trend has become a viral celebration…
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The Role of Artificial Intelligence and Human-in-the-Loop in Fraud Detection
Quick Overview This blog explores how Artificial Intelligence (AI) and Human-in-the-Loop (HITL) work together to enhance fraud detection. It highlights how AI-driven systems can identify suspicious activity and anomalies in real-time, while HITL experts ensure accurate decision-making by handling complex cases and reducing false positives. Key points include: Introduction Fraud is an ever-evolving challenge in…