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Meta Andromeda: Supercharging Advantage+ automation with the next-gen personalized ads retrieval engine
- Meta has announced Andromeda, its proprietary machine learning system for personalised ad retrieval.
- The system establishes an efficient scaling law for retrieval with the aid of AI, driving a step-function improvement in value to advertisers and people.
- Andromeda features a deep neural network custom designed for the NVIDIA Grace Hopper Superchip to deliver superior retrieval performance.
- It utilises a hierarchical index to scale the volume of ad creatives, empowering the adoption of GenAI technologies by advertisers.
- Andromeda reduces system complexity by minimising components and rule-based logic, allowing for end-to-end performance optimisation.
- The system's design is optimised for AI hardware, minimising memory bandwidth bottlenecks and enabling highly parallel, computation-intensive models with high performance.
- Andromeda represents a significant technological leap in retrieval – addressing volume and latency challenges through key ML and system innovations.
- Meta's investment in AI aims to deliver the best experience given the strict latency and capacity ROI budgets and drive better advertiser outcomes.
- Integrating Andromeda with MTIA and future generations of commercially-available GPUs will further improve advertiser performance and push the boundaries of scaling retrieval.
- Andromeda has been designed to maximise ads performance and has achieved a 6% recall improvement to the retrieval system, delivering an 8% ads quality improvement on selected segments.
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