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Low-bit inference reduces memory and compute demands for large AI models like Kimi-K2.5 and GLM-5. Dropbox uses these techniques in products like Dropbox Dash to deliver fast, cost-effective AI-powered search. Quantization types and optimization challenges are key to deploying advanced models in production.
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