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MTEB: Massive Text Embedding Benchmark

Cohere

Text embeddings are commonly evaluated on a small set of datasets from a single task not covering their possible applications to other tasks.

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ResearchIrokoBench: A New Benchmark for African Languages in the Age of Large Language ModelsCohere ResearchPASHA: Efficient HPO and NAS with Progressive Resource AllocationCohere ResearchSelf-Improving Robust Preference OptimizationCohere ResearchαNAS: Neural Architecture Search using Property Guided SynthesisCohere ResearchIf You Can't Use Them, Recycle ThemCohere ResearchAya Model: Open-Access Multilingual Language ModelCohere ResourcesAccessible name - GlossaryDeveloper Mozilla Blogswith JupyterLab as a Docker ExtensionDocker ResourcesWhat is a HEIF image extension and what is it used for?Bunny BlogsHow BunnyCDN shredded the size of your text files by 10-20% with BrotliBunny BlogsHow to Create a Personalized Christmas Video for FreeHeygen BlogsBuild your own AI app builder with the v0 Platform APIVercel ResourcesGet page content - MintlifyMintlify Products & ServicesPolish Speech to Text API | Fast & Accurate Transcription | DeepgramDeepgram BlogsSuperGLUE: Understanding a Sticky Benchmark for LLMsDeepgram LearnFlux Multilingual Technical Deep Dive: Multilingual Speech-to-Text Without the Routing MessDeepgram Products & ServicesUkrainian Speech to Text API | Fast & Accurate Transcription | DeepgramDeepgram Products & ServicesMalay Speech to Text API | Fast & Accurate Transcription | DeepgramDeepgram BlogsDeepgram integrates speech-to-text with UniSpeech (UniMRCP)Deepgram Products & ServicesSpanish Speech to Text API | Fast & Accurate Transcription | DeepgramDeepgram