QCon AI Boston 2026 focused on the operational challenges of deploying AI agents, emphasizing the need for robust production infrastructure. Key themes included improving context management,...

Mallika Rao discusses the hidden risk of evaluation debt in production AI systems, drawing on her experience at Twitter, Walmart, and Netflix. She explains why traditional metrics fail modern...

In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Sam Bhagwat, co-founder and CEO of Mastra, about building and sustaining open source communities, the emerging discipline...

Most organisations have run an AI pilot. Far fewer have deployed an AI product. There is a fundamental gap between AI experimentation and production.

本研究提出了xai_evals框架，旨在评估机器学习模型后置局部解释方法的可靠性，以提高AI系统的可解释性和信任度。