Treasure Hunt Real Time Targeting Of The Long Tail Using Training Time Markers 2025 06 18
Source
Cohere editorial sitemap
Author
Cohere editorial sitemap
Date
Terms in this piece · Glossary
inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
Why it matters
Long-tail behavior is normally unreachable at inferenceRunning a trained model to get answers — the phase where AI is actually used, as opposed to trained.Full definition → because nothing in the prompt distinguishes it. Training-time markers give you a handle to steer toward rare capabilities on demand, which matters most for underrepresented languages and domains.
articleCommit0 Library Generation From Scratch 2024 12 02
articleLlmcrit Teaching Large Language Models To Use Criteria 2024 03 02
articleSeacrowd A Multilingual Multimodal Data Hub And Benchmark Suite For Southeast Asian Languages 2024 06 14
articleFishing For Magikarp Automatically Detecting Under Trained Tokens In Large Language Models 2024 05 08
articleDenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code SearchRapha\"el Sourty, Antoine Chaffin, Paulo Roberto Moura Junior, Am\'elie Chatelain