One of the most widely used techniques to make AI models more efficient, quantization, has limits — and the industry could be fast approaching them. In the context of AI, quantization refers to lowering the number of bits — the smallest units a computer can process — needed to represent information. Consider this analogy: When […]

© 2024 TechCrunch. All rights reserved. For personal use only.

Related

Precursor’s Charles Hudson believes founders should test their investors

Norwegian startup Factiverse wants to fight disinformation with AI

John Smedley Launches Debut Lifestyle Collection, And Other Fashion News

28-year-old employee flirts with supposedly single 40-year-old coworker, turns out she's been married for 16 years: 'She was lying about being single'

Satechi Mini NVMe SSD Enclosure is a pocket-friendly storage solution for power users

Robust AI’s Carter Pro robot is designed to work with, and be moved by, humans

A popular technique to make AI more efficient has drawbacks

The best tech for plant lovers

Living in a Gold, Silver, Diamond, and Poor House for a Day! Crazy Challenge!

Mandala art Order number 6364285588 #mandalaart #mandaladrawing #mandala #life #lifestyle

If your deadlift is weak, make sure to do this

गाँव जाने से पहले किया Celebration