Meta uses idle inference capacity to improve ads recommendations
Meta turns idle inference capacity in its fleet into better ads recommendations, using two elasticity levers that expand work without compromising baseline performance.
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Meta turns idle inference capacity in its fleet into better ads recommendations, using two elasticity levers that expand work without compromising baseline performance.
Microsoft describes how LINK AI Content Optimizer scores ads, recommends changes and re-evaluates variants, along with the data and load-test results behind the system.