Guides & Technical Reports
Explore practical guides, research-backed frameworks, and technical insights from the GATAI team—designed to help you navigate AI development, deployment, and innovation at scale.
Building a Scalable AI Pipeline
Learn how to design and deploy a modular, scalable AI data pipeline using annotation, automation, and active learning techniques.
Read Guide →LLMs in Production: Challenges & Solutions
A breakdown of real-world deployment issues for large language models, with insights on reliability, cost, and performance tuning.
Read Report →Human-in-the-Loop in AI Model Training
How to effectively incorporate human oversight in model evaluation, labeling, and continual learning workflows.
Read Strategy →