Hugging Face introduces QIMMA, a quality-first leaderboard for Arabic Large Language Models (LLMs), aiming to foster development and evaluation of high-performing models for the Arabic language.
Why it matters
The development of specialized leaderboards like QIMMA is crucial for advancing AI capabilities in underrepresented languages. By focusing on quality and providing a standardized evaluation framework for Arabic LLMs, QIMMA will encourage researchers and developers to build more accurate, nuanced, and culturally relevant models. This, in turn, will unlock new applications and improve accessibility of AI technologies for Arabic speakers globally, bridging a significant gap in the current AI landscape.
This is a new ranking system for AI language models that understand Arabic. It helps developers see which models are the best quality so they can build better AI for Arabic speakers.
Localized LLM Development & Quality-First Evaluation
View in Playbook →
Yelp said that users can ask questions about a restaurant and place an order or book a table in one conversation
Read on TechCrunch →Design giant Canva unveiled its AI-native platform, Canva 2.0, powered by its own models. This shift transforms it into an AI platform with design tools, aiming for the next generation of users. The company also introduced a new AI Pass for enhanced AI capabilities.
Read on Economic Times Tech →India's smartphone shipments experienced a 3% year-on-year decline in Q1 2026, reaching a six-year low due to cost pressures and price hikes. Analysts predict further declines, with Vivo leading the market share. Google emerged as the fastest-growing premium brand, boosted by AI features.
Read on Economic Times Tech →