KAIST’s CluSTER Cuts AI Fine-Tuning Time by 70%

Training a specialist AI model is expensive mostly because of repetition. Researchers at KAIST say they have found a way to cut that repetition: a method called CluSTER fine-tuned a model on medical question-and-answer data using about 31 percent of the dataset and cut training time by 69.6 percent, with only a small loss in accuracy, Aju Press reported on November 2, 2026. The problem: fine-tuning wastes GPU time Large language models first learn broad knowledge, then developers fine-tune them...
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The Assisi Loop: Non-invasive pain relief treatment for pets

The Assisi Loop provides non-invasive pain relief therapy for pets, an alternative to conventionalĀ drug-based treatments. Assisi Animal Health is a science-based company specializing in offering clinical therapeutic solutions to veterinarians or by veterinary prescription to pet owners. As of today, non-steroidal anti-inflammatory drugs are the primary therapy mode for treating pain in animals. Yet they account for the largest number of adverse drug reactions as reported to the FDA. To add...
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