These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.
Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...
Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source models move beyond chat-based applications and into production ...
Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...
In a major advancement for AI model evaluation, the Institute of Artificial Intelligence of China Telecom (TeleAI) has ...
Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...
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New Way To Increase Capabilities Of Large Language Models
Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the same as "The box was on ...
Nexus proposes higher-order attention, refining queries and keys through nested loops to capture complex relationships.
Claude-creator Anthropic has found that it's actually easier to 'poison' Large Language Models than previously thought. In a ...
Machine-learning models like Alphabet’s Gemini have largely been trained on troves of borrowed words, tunes and photos.
GPT-5.2 features a massive 400,000-token context window — allowing it to ingest hundreds of documents or large code repositories at once — and a 128,000 max output token limit, enabling it to generate ...
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