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Intriguing Properties of Quantization at Scale

Cohere

Emergent properties have been widely adopted as a term to describe behavior not present in smaller models but observed in larger models.

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Research Cohere

ResearchPolicy Primer - Efficient AICohere ResearchUnderstanding and Mitigating Language Confusion in LLMsCohere ResearchFAIR-Ensemble: When Fairness Naturally Emerges From Deep EnsemblingCohere ResearchMetadata Archaeology: Unearthing Data Subsets by Leveraging Training DynamicsCohere ResearchContrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashionCohere ResearchExploring Low Rank Training of Deep Neural NetworksCohere BlogsHow we grew Mintlify by doing things that don't scaleMintlify BlogsHow to implement AI training for employeesZapier NewsPancakes Are Delicious and Data Centers Are for Free StuffThenewstack NewsTransform and Future-Proof Your Architecture with MACHThenewstack NewsSelecting the Right Database for Your MicroservicesThenewstack BlogsCreating Color Themes With Custom Properties, HSL, and a Little calc()Css Tricks BlogsReal-Time Computational Physics with Wafer-Scale Processing [updated]Cerebras BlogsCerebras Wafer-Scale Engine Inducted into the Computer History Museum - CerebrasCerebras NewsAMD and Cerebras Announce Disaggregated AI InferenceCerebras Blogs20 Must-Attend Startup Events in San Francisco 2025 | HeyGenHeygen NewsThis Week in Programming: Google Gets into the Open Source Insights GameThenewstack NewsLinux Foundation: Why Open Source Needs Research NowThenewstack NewsPush vs. Pull in GitOps: Is There Really a Difference?Thenewstack NewsMagma Brings a Systems Approach to Wireless NetworkingThenewstack