This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...
Our dependence on digital infrastructure has grown exponentially amid unprecedented technological advancements. With this reliance comes an increasingly ...
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Neuromorphic Spike-Based Large Language Model (NSLLM): The next-generation AI inference architecture for enhanced efficiency and interpretability
Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...
For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...
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 ...
Instead of a single, massive LLM, Nvidia's new 'orchestration' paradigm uses a small model to intelligently delegate tasks to a team of tools and specialized models.
If language is what makes us human, what does it mean now that large language models have gained “metalinguistic” abilities?
Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...
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 ...
These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.
Claude-creator Anthropic has found that it's actually easier to 'poison' Large Language Models than previously thought. In a ...
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