We benchmarked a fine-tuned E2B model against frontier APIs on a real production classification task. It matched their quality in under 100ms, at about a hundredth of the cost.
How we addressed the cold-start problem for Airbnb’s natural language search by jointly generating synthetic training data — queries and relevance labels — from de-identified booking and search signals.
How we capture real production database traffic at Airbnb and replay it offline to load-test, plan capacity, and de-risk upgrades.
How Airbnb built forecasting models resilient enough to survive a global pandemic and whatever shock comes next.
2025 was a big year for research at Airbnb, as we made significant progress toward our mission to use AI, data science, and machine learning to become the best travel and living platform.
A deep dive on the framework that lets us identify the most valuable listings for our guests.
