Despite their sophisticated general-purpose capabilities, Large Language Models (LLMs) often fail to align with diverse individual preferences because standard post-training…
By Renata Teixeira, Zhi Li, Reenal Mahajan, and Wei WeiOn January 26, 2026, we flipped an important switch for Live at…
Evaluating single-turn agent interactions follows a pattern that most teams understand well. You provide an input, collect the output, and…
Building the perfect bra takes thousands of data points. That’s why Honeylove isn’t just another intimates brand. We’re a technology…
Monitoring competitor prices is essential for ecommerce teams to maintain a market edge. However, many teams remain trapped in manual…
As AI workloads transition from experimental prototypes to production-grade services, the infrastructure supporting them faces a growing utilization gap. Enterprises…
We introduce ProText, a dataset for measuring gendering and misgendering in stylistically diverse long-form English texts. ProText spans three dimensions:…
Your AI agent worked in the demo, impressed stakeholders, handled test scenarios, and seemed ready for production. Then you deployed…
Policy gradient algorithms have driven many recent advancements in language model reasoning. An appealing property is their ability to learn…
This post is cowritten with David Kim, and Premjit Singh from Ring. Scaling self-service support globally presents challenges beyond translation.…