Anote Blog
A practical guide to RLHF and RLAIF, comparing their strengths, risks, and where each approach fits in modern AI development. Learn how to combine them for scalable, reliable models.
An accessible overview of data labeling, annotators, and human-in-the-loop AI, with practical examples, case studies, and best practices for quality and ethics.
This article explains how to evaluate and compare AI models using multiple metrics, fair testing practices, and practical case studies to ensure robust, deployable performance.
A comprehensive guide to improving Retrieval-Augmented Generation (RAG) and fine-tuning, with practical strategies, case studies, and a decision framework for when to use each approach or combine them.
A comprehensive look at Human Centered AI, outlining core principles, design patterns, and real-world case studies that show how people should guide AI development and deployment.
An in-depth exploration of recent AI breakthroughs, policy shifts, and industry trends shaping human-centered AI initiatives, emphasizing the importance of aligning AI with human values and responsible practices.
