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Imitating Language via Scalable Inverse Reinforcement Learning

Cohere

The majority of language model training builds on imitation learning.

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Research Cohere

ResearchScalable Data Ablation Approximations for Language Models through Modular Training and MergingCohere ResearchLifting the Veil on Hyper-parameters for Value-based Deep Reinforcement LearningCohere ResearchOne Tokenizer To Rule Them All: Emergent Language Plasticity via Multilingual TokenizersCohere ResearchNear-Optimal Distributionally Robust Reinforcement Learning with General NormsCohere ResearchUnderstanding and Mitigating Language Confusion in LLMsCohere ResearchInvestigating Continual Pretraining in Large Language Models: Insights and ImplicationsCohere BlogsTrained on 100,000+ Voices: Deepgram Unveils Next-Gen Speaker Diarization and Language DetectionDeepgram BlogsThe Language of LGBTQ Inclusion and Allyship - Deepgram Blog ⚡️Deepgram LearnCalling Your Video Game With Your Phone: Part 1Deepgram BlogsNew Spanish and Turkish Language Models and Updated General Models - Deepgram Blog ⚡️Deepgram NewsOData or GraphQL? The Best Tech for Developing an API Is Neither or Both!Thenewstack NewsLessons Swift Designer Chris Lattner Has Learned about LeadershipThenewstack 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 BlogsUsing Subtests and Sub-benchmarks - The Go Programming LanguageGo