Eval-driven development: Lessons from evaluating GenAI at scale
How Airbnb teams build trustworthy Generative AI products by treating evaluation as a first-class engineering discipline;...
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Personalizing Airbnb search by learning from the guest journey
How we built a Transformer-based sequence model that encodes years of guest behavior to surface the...
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From weeks to a day: how we made LLM evaluation...
Training an LLM is the easy part. The hard part is designing experiments and evaluations that...
Visit LinkScaling beyond one: How Airbnb evolved its data architecture for...
How Airbnb’s data engineers and analytics engineers built a consistent and flexible data modeling framework to...
Visit LinkSitar-agent: Building a reliable dynamic configuration sidecar at scale
How Airbnb built a Kubernetes sidecar to deliver dynamic configuration reliably at scale.
Visit LinkWhen history fails you, borrow from geography
How Airbnb used sequential geographic recovery signals and prior propagation to generate reliable corridor-level forecasts when...
Visit LinkScaling Airbnb’s identity graph with a unified knowledge graph infrastructure
How Airbnb shifts from PaaS to an internal knowledge graph infrastructure at scale.
Visit LinkViaduct 1.0 and the future of Airbnb’s data mesh
Moving from an internal tool to a community-driven, production-ready data mesh.
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