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.

Jul 30, 2025

3D Point Cloud vs Mesh: How Do They Differ?

The world of 3D data representation offers AI developers two fundamental approaches for capturing spatial information: point clouds and meshes.

Jul 25, 2025

Fine-Tuning Pre-trained 3D Models for Domain-Specific LiDAR Datasets: Strategies and Best Practices

Discover how to fine-tune pre-trained 3D models for domain-specific LiDAR datasets. Learn strategies, tools, and workflows that improve perception in real-world environments like agriculture, mining, and robotics.

Jul 22, 2025

Going Beyond Translation: Lessons in Localizing Ambient Scribe AI for Global Markets

Discover how iMerit supports ambient scribe AI deployment across global healthcare markets. Learn why clinical accuracy demands more than translation, requiring culturally and linguistically tailored annotation workflows.

Jul 17, 2025

Pre-Labeling Automation: Accelerating AI Annotation with Smarter First Drafts

Pre-labeling automation speeds up data annotation by generating AI-powered first drafts. Improve labeling accuracy, reduce costs, and scale your datasets faster with human-in-the-loop workflows and tools like Ango Hub.

Jul 16, 2025

Scaling RLHF Pipelines: Overcoming Data Drift in LLM Fine-tuning

In the race to build intelligent systems, the winners won’t just be those with the biggest models, but those with

Jul 11, 2025

How AI-Powered Ambient Digital Scribes Are Transforming Healthcare

Discover how AI-powered ambient digital scribes automate medical transcription, reduce EHR burden, and improve patient care across healthcare settings. Trained on domain-specific data, these tools boost accuracy and scale clinical workflows.

Jul 9, 2025

Beyond GenAI: How Data Annotation is Evolving for the AGI Era

As AI moves beyond GenAI toward Artificial General Intelligence, data annotation must evolve. Explore how multimodal labeling, expert-in-the-loop workflows, and synthetic data validation are reshaping training data for AGI systems.

Jul 9, 2025

Technical Framework for Applying RLHF to Enhance Multi-Sensor Object Detection and Scene Understanding Models

Most AI models struggle when they face new or unusual situations. They can’t always adapt well, which limits how useful

Jul 9, 2025

Polygon Annotation: Key Benefits & Use Cases

Some computer vision applications demand precision that traditional rectangular bounding boxes simply can’t deliver. When AI models need to distinguish

Jul 8, 2025

What is Supervised Fine Tuning (SFT)?

AI models have evolved dramatically in their capabilities, but the journey from general-purpose algorithms to specialized tools that excel in

Jul 4, 2025

CVPR 2025 Recap: What We Learned About the Future of Annotation, Data, and AI

From synthetic data to edge case annotation, CVPR 2025 confirmed that AI’s future depends on high-quality, diverse data, not just better models. Explore key takeaways and trends.

Jul 3, 2025

Vibe Hacking in AI: How Red-Teaming Can Keep Generative Models Aligned

Discover how vibe hacking exposes tone and trust failures in generative AI and how red-teaming with Ango Hub ensures emotionally aligned model outputs. Learn how expert-in-the-loop workflows catch subtle risks like bias, overconfidence, and cultural misalignment.