The iMerit Blog

From casual to cultured, the iMerit blog tackles a wide array of topics related to security, expertise, and flexibility in the Artificial Intelligence and Machine Learning data-enrichment marketplace.

Feb 6, 2025

Adapting DMS Technology to Handle Unstructured Traffic and Diverse Behavior

Discover how Driver Monitoring Systems (DMS) enhance road safety in India by detecting driver fatigue, distraction, and drowsiness. Learn about AI-powered DMS, its adoption challenges, and its impact on unstructured traffic.

Autonomous Vehicle

Oct 28, 2024

Pixel to Millimeter: Precise Data Labeling for Medical Images

Learn how Ango Hub's real-world coordinates feature transforms medical image labeling with precise, millimeter-level measurements. This article delves into how accurate data labeling for tasks like tumor sizing and anatomical landmarking is now streamlined, enhancing reliability and supporting advanced healthcare AI applications.

Machine Learning

Sep 19, 2024

Best Practices for Measuring Task Quality in the Human-in-the-Loop Approach to Improving LLMs and Multimodal Models

Learn best practices for measuring task quality in a human-in-the-loop approach to improving LLM & Multimodal Models' reliability and outcomes.

Machine Learning

Sep 12, 2024

Accelerating The Pace Of HD Map Production With Human-In-The-Loop

How does the human-in-the-loop approach accelerate HD map production for autonomous vehicles? Explore the role of human expertise in improving the accuracy, quality, and efficiency of HD mapping, overcoming challenges faced by automated systems, and driving innovation in self-driving technology.

Sep 11, 2024

The Role Of Human Feedback In Improving LLM Precision

Human-centered strategies improve accuracy, ethics, and reliability in AI systems, bridging the gap between computational power and nuanced human communication. Explore the critical role of human judgment in refining AI and LLMs and the importance of evaluator perspectives in creating trustworthy AI.

Machine Learning

Aug 22, 2024

How to Avoid Fraud in Crowd Evaluators for Generative AI Models?

Learn effective strategies to prevent fraud in expert and crowd evaluator systems, ensuring reliable evaluations and maintaining data integrity.

Machine Learning

Aug 8, 2024

Guide to the RLHF Ranking Tool in Ango Hub

Essential for RLHF projects, Ango Hub's Ranking Tool simplifies task, allowing users to easily prioritize and evaluate diverse outputs like text, images, and videos.

Medical AI

Jul 11, 2024

Red Teaming Challenges in Medical AI Systems

Explore the challenges of red teaming in healthcare chatbots and how to avoid them using red teaming defense strategies.

Medical AI

Jun 29, 2024

Red Teaming RAG Healthcare Chatbots

Explore how red-teaming techniques enhance the reliability and security of RAG healthcare chatbots by simulating real-world cyberattacks to identify and mitigate vulnerabilities.

Medical AI

Jun 24, 2024

The Role of Data Annotation and RLHF to Build Successful LLMs

Enhance LLM success with precise data annotation and RLHF, refining models through high-quality data and human feedback for improved performance and adaptability.