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Researchers propose a self-distillation fix for ‘catastrophic forgetting’ in LLMs
A new fine-tuning technique aims to solve “catastrophic forgetting,” a limitation that often complicates repeated model updates in enterprise deployments. Researchers at MIT, the Improbable AI Lab, and ETH Zurich have introduced a fine-tuning method designed to let...
Reactive state management with JavaScript Signals
Signals is a simple idea with massive power. In one fell swoop, Signals provides reactivity while keeping state simple, even in large applications. That’s why the Signals pattern has been adopted for inclusion in Solid, Svelte, and Angular. This article introduces...
How neoclouds meet the demands of AI workloads
Neoclouds are specialized clouds devoted to the wildly dynamic world of artificial intelligence, currently experiencing explosive 35.9% annual growth. Built from the ground up to meet AI’s significant computational demands, neoclouds first emerged several years ago....