AgiCrowds Blog

How reinforcement learning from human feedback is transforming enterprise AI applications.

Learn the best practices for annotating text, images, audio, and video data for AI training.

Key insights from scaling annotation teams from 5 to 500 people while maintaining quality.

A case study on how human-in-the-loop workflows improved diagnostic accuracy by 23%.

A step-by-step tutorial on setting up an RLHF pipeline for your AI models.

Strategies and techniques for ensuring high-quality annotations at scale.

How investing in quality annotations leads to better AI models and business outcomes.

Best practices for designing human-in-the-loop workflows that improve model performance.

Advanced techniques for annotating video data for self-driving car AI.