
Generating synthetic data from one teacher model inherits its ceiling. Routing each language or slice to whichever model is strongest there lifts the resulting data pool without new human annotation.
articleBam Just Like That Simple And Efficient Parameter Upcycling For Mixture Of Experts 2024 08 15
articleOne Tokenizer To Rule Them All Emergent Language Plasticity Via Multilingual Tokenizers 2025 05 30
articleInclude Evaluating Multilingual Language Understanding With Regional Knowledge 2024 11 29
articlePushing Mixture Of Experts To The Limit Extremely Parameter Efficient Moe For Instruction Tuning 2023 09 11
articleAya Expanse Combining Research Breakthroughs For A New Multilingual Frontier 2024 12 06Cohere editorial sitemap
articleTiny Aya Bridging Scale And Multilingual Depth 2026 02 17Cohere editorial sitemapChecking sign-in…
Loading comments…