Archive: 2025/11

Structured and unstructured pruning help shrink large language models for real-world use. Structured pruning keeps hardware compatibility; unstructured gives higher compression but needs special chips. Learn which one fits your needs.

Vocabulary size in large language models directly impacts accuracy, efficiency, and multilingual performance. Learn how tokenization choices affect real-world AI behavior and what size works best for your use case.

AI-generated UI components can improve accessibility, but only if they properly support keyboard navigation and screen readers. Learn how current tools work, where they fail, and how to ensure real accessibility-not just automated checks.