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IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models

Cohere

Despite the widespread adoption of Large language models (LLMs), their remarkable capabilities remain limited to a few high-resource languages.

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Research Cohere

ResearchInvestigating Continual Pretraining in Large Language Models: Insights and ImplicationsCohere ResearchScalable Data Ablation Approximations for Language Models through Modular Training and MergingCohere ResearchBigScience: A Case Study in the Social Construction of a Multilingual Large Language ModelCohere ResearchCALIBER: Calibrating confidence before and after reasoning in language modelsCohere ResearchSEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian LanguagesCohere ResearchUnderstanding and Mitigating Language Confusion in LLMsCohere Blogs10 best AI observability tools for monitoring and evaluating agents in 2026Mintlify BlogsTrained on 100,000+ Voices: Deepgram Unveils Next-Gen Speaker Diarization and Language DetectionDeepgram BlogsThe Language of LGBTQ Inclusion and Allyship - Deepgram Blog ⚡️Deepgram BlogsNew Spanish and Turkish Language Models and Updated General Models - Deepgram Blog ⚡️Deepgram BlogsAI frameworks: Definition, types, and how to chooseZapier NewsOData or GraphQL? The Best Tech for Developing an API Is Neither or Both!Thenewstack BlogsDiscovered Stacks: One Place for All Your InfrastructurePulumi BlogsPkg.go.dev has a new look! - The Go Programming LanguageGo BlogsInside the Go Playground - The Go Programming LanguageGo BlogsReal Go Projects: SmartTwitter and web.go - The Go Programming LanguageGo BlogsThe App Engine SDK and workspaces (GOPATH) - The Go Programming LanguageGo BlogsGo on App Engine: tools, tests, and concurrency - The Go Programming LanguageGo ResourcesThe Go Memory Model - The Go Programming LanguageGo BlogsErrors are values - The Go Programming LanguageGo