TechiSeek

AddAdd your Listings

Research

Unlocking Reasoning Capability on Machine Translation in Large Language Models

Cohere

Reasoning-oriented large language models (RLMs) achieve strong gains on tasks such as mathematics and coding by generating explicit intermediate reasoning.

Visit Site

Research Cohere

ResearchInvestigating Continual Pretraining in Large Language Models: Insights and ImplicationsCohere ResearchCALIBER: Calibrating confidence before and after reasoning in language modelsCohere 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 ResearchUnderstanding and Mitigating Language Confusion in LLMsCohere ResearchOne Tokenizer To Rule Them All: Emergent Language Plasticity via Multilingual TokenizersCohere 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 NewsLessons Swift Designer Chris Lattner Has Learned about LeadershipThenewstack 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