Tensor Times
An academic-grade journal of artificial intelligence research — peer-reviewed analysis of large language models, machine learning frameworks, and the engineering behind today’s most consequential AI systems.
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The Emergence of Mixture-of-Experts Architectures: Scaling Efficiency in Next-Generation Large Language Models
Introduction: The Scaling Dilemma and a Paradigm Shift The relentless pursuit of larger, more capable large language models (LLMs) has been a defining feature of artificial intelligence research…