A popular technique to make AI more efficient has drawbacks

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.

Nov 18, 2024 - 02:00
A popular technique to make AI more efficient has drawbacks

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.

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