Insights & Research

Why Quality Annotation Improves LLM Training
Generative AI

Why Quality Annotation Improves LLM Training

How high-fidelity, human-verified instruction tuning datasets prevent hallucinations and improve reasoning capabilities in Large Language Models (LLMs).

Feb 12, 2025•6 min read
How Human-in-the-Loop Improves Model Reliability
MLOps Strategy

How Human-in-the-Loop Improves Model Reliability

Integrating human feedback (RLHF) directly into MLOps pipelines to handle edge cases and reduce model drift in production environments.

Feb 08, 2025•8 min read
Best Practices for Search Relevance Datasets
Search & Retrieval

Best Practices for Search Relevance Datasets

Creating ground truth for retrieval-augmented generation (RAG) and semantic search engines using expert-graded query-document pairs.

Feb 01, 2025•7 min read
Optimizing 3D Point Cloud Data for GPU Training
Autonomous Systems

Optimizing 3D Point Cloud Data for GPU Training

Structuring LiDAR and sensor fusion data to maximize throughput in NVIDIA-powered training clusters for autonomous systems.

Jan 28, 2025•10 min read