Every NOVORIO release ships with technical details, training methodology, and reproducible benchmarks.
How we trained a frontier model on a fraction of industry-standard compute, and what it taught us about data quality.
BenchmarksA reproducible benchmark suite for measuring real-world context use beyond needle-in-a-haystack.
SafetyTechniques for keeping assistant behavior stable as usage patterns evolve in production.
SystemsOur serving stack: speculative decoding, paged attention, and the trade-offs we made for latency.
DataCurriculum design principles that keep model quality stable across synthetic training rounds.
Technical ReportField notes from deploying sparse attention to production traffic.
All papers are free to read. Models are available through the NOVORIO API.