Tag: Large language models (LLMs)
Welocalize AILQA Wins 2025 AI Breakthrough Award for Natural Language Recognition
Welocalize AILQA award recognized at 2025 AI Breakthrough Awards for innovation in AI-led linguistic quality assurance.
Welo Data Unveils New Framework for Evaluating Causal Reasoning in Large Language Models
Welo Data presents a multi-select framework to evaluate causal reasoning in LLMs, revealing key differences in model behavior and scoring.
Copyrighted Books Ruled Fair Game for AI Training at Meta and Anthropic
United States judges say training large language models like Claude and Llama on copyrighted books is fair use, shifting legal ground for generative AI.
John Snow Labs Launches Martlet.ai, Setting New Standards for Risk Adjustment with Healthcare Large Language Models
Martlet.ai HCC Coding platform launched by John Snow Labs to automate risk adjustment with AI-driven accuracy and compliance.
Are Multilingual LLMs Really Culturally Fluent? Appen’s New Study Says No
Appen’s new study shows multilingual LLM cultural nuance is lacking, especially in tone, humor, and culturally specific meaning.
Introducing Managed AI: AI Language Solutions, Simplified and Scaled
Unlock AI’s full potential in language services with Managed AI—expert consulting, model integration, and governance for scalable, compliant content strategies.
DeepL Bolsters API With Next-Gen LLM Model and Write Functionality
DeepL announced the expansion of its popular API solution: the DeepL next-generation language model and DeepL API for Write. The model delivers more precise, accurate translations.
Translation Reimagined With Hyper-Personalized Multilingual Content
Instead of merely translating sentences, multilingual content generation uses AI prompts to craft content that resonates with audiences as if it originated within their linguistic and cultural framework.
The Localization Landscape in 2025
Language technology company Phrase delves into the best ways to utilize AI for localization — advising companies to embrace partner ecosystems, scale personalization, adopt hyperautomation, and move localization into content production pipelines.