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Predicting Twitter Engagement With Deep Language Models

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Twitter has become one of the main information sharing platforms for millions of users world-wide.

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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 ResearchCALIBER: Calibrating confidence before and after reasoning in language modelsCohere ResearchUnderstanding and Mitigating Language Confusion in LLMsCohere ResearchFAIR-Ensemble: When Fairness Naturally Emerges From Deep EnsemblingCohere ResearchExploring Low Rank Training of Deep Neural NetworksCohere 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