Model distillation is one of the technology trends that has reached a level of maturity identified in Gartner’s 2025 Hype Cycle for artificial intelligence (AI) as “the slope of enlightenment”.

Making quantum computers fault-tolerant (and scaling effective error correction to enable this) is a key barrier to a new era of quantum supremacy. A new study ...

What if the most powerful artificial intelligence models could teach their smaller, more efficient counterparts everything they know—without sacrificing performance? This isn’t science fiction; it’s ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. Furfural can ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Jarrod Vawdrey in his ...

Chinese artificial intelligence lab DeepSeek roiled markets in January, setting off a massive tech and semiconductor selloff after unveiling AI models that it said were cheaper and more efficient than ...

DeepSeek’s R1 release has generated heated discussions on the topic of model distillation and how companies may protect against unauthorized distillation. Model distillation has broad IP implications ...

Forbes contributors publish independent expert analyses and insights. There’s a new wrinkle in the saga of Chinese company DeepSeek’s recent announcement of a super-capable R1 model that combines high ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the rising tendency of employing ...

Knowledge distillation, a crucial technique in artificial intelligence for transferring knowledge from large language models (LLMs) to smaller, resource-efficient ones, faces several significant ...