Tag: Large Language Model (LLM)
HKMU Researchers Secure Over HK$3.4 Million to Develop First Cantonese Post-Drinking Speech Detection System
The project will establish a system prototype available via a mobile app once completed, allowing users to conduct real-time self-assessments and monitor the effects of alcohol to determine their fitness to drive.
Hera AI – The Future of Automated Post-Editing, LQA and QE
Hera AI improves machine translation quality and reduces localization costs by combining the speed and scalability of machine translation with the contextual intelligence of LLMs.
Huawei Develops Smarter Hybrid AI Translation Systems
Huawei hybrid AI translation systems combine LLMs and NMT. According to the company, this selective use of LLMs helps reduce latency while maintaining translation quality.
Your Guide to 2024’s Rapid AI Developments
This year was marked by relentless technological acceleration driven by artificial intelligence. Veronica Hylak identifies the eight biggest takeaways from 2024’s many AI updates, including their major impacts on data privacy, online search, intellectual property, and energy use.
The Biggest AI Model Releases of 2024 and Their Impacts on the Language Industry
OpenAI, Meta, Google, and Anthropic introduced major AI model updates this year, which primarily focused on higher-performing multi-modal LLMs, AI agents, and small language models.
The Evolution of Machine Translation: A Brief History and What’s Coming Next
Automated translation technologies have evolved from rules-based and statistical techniques to new approaches based on large language models — delivering increased productivity, reduced costs, and improved consistency.
Cohere Releases “Aya Expanse” Multilingual AI Models
Cohere has introduced two new LLMs as part of its ongoing project aimed at closing language divides in foundational AI models. The Aya Expanse models support 23 languages, including Arabic, Chinese, French, and Hindi.
Alibaba Unveils Upgraded AI Translation Tool
Based on a widely recognized framework for evaluating translation accuracy, Alibaba's updated model outperforms similar products from competitors like Google, DeepL, and OpenAI. Called Marco MT, the tool supports 15 languages.
Overcoming the Limitations of LLMs
Can large language models (LLMs) truly bridge the gap between languages and cultures? Recent research by Pangeanic and others suggests that we might be closer to this goal than we think, despite the well-known limitations of LLMs.