TechiSeek

AddAdd your Listings

Research

Findings of the WMT25 Multilingual Instruction Shared Task: Persistent Hurdles in Reasoning

Cohere

The WMT25 Multilingual Instruction Shared Task (MIST) introduces a benchmark to evaluate large language models (LLMs) across 30 languages.

Visit Site

Tiny Aya Expedition Drives Multilingual InnovationCohere Cohere Transcribe Arabic: Open-Source Speech AICohere Turbocharge Your Chatbot with Intent RecognitionCohere Why You Need a Large Language Model for Intent RecognitionCohere Introducing: Cohere For AICohere The Cohere Platform is now publicly availableCohere Credit pricing - MintlifyMintlify How Walsall Council Delivers Improved Resident Experiences Through Multilingual AI Videos in Over 50Synthesia Anthropic Identifies Biased Reasoning and Recklessness as Drivers of Claude’s PyPI AttackSocket What is a Tensor Core?Modal Time to Interactive (TTI) - GlossaryDeveloper Mozilla AI-generated Awareness Campaigns: Global ImpactHeygen Flux Multilingual Technical Deep Dive: Multilingual Speech-to-Text Without the Routing MessDeepgram How Cision uses AI video to scale multilingual support and improve client experienceSynthesia The 6 best task automation tools in 2026Zapier Socket for Asana Is Now AvailableSocket Accelerating Large GPT Training with Sparse Pre-Training and Dense Fine-Tuning [Updated] - CerebrasCerebras The Economics of AI ReasoningCerebras Lists all Shared Environment Variables for a team | Vercel REST APIVercel How Criteo uses AI video for newcomer onboardingSynthesia