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Ads Ranking Evolution at Pinterest // Aayush Mudgal // #211

Feb 13, 2024
52:37
Snipd AI
Aayush Mudgal, Senior Machine Learning Engineer at Pinterest, discusses the evolution of ads ranking at Pinterest, including transitioning to deep learning-based transformer models. Topics covered include challenges in productionizing large language models, transitioning to deep learning models, incorporating sequential signals, multi-task learning, and transfer learning, scaling machine learning at Pinterest, and the use of transformers in ad rankings and recommendation models.
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Podcast summary created with Snipd AI

Quick takeaways

  • Evaluate effort and potential gain before making design decisions.
  • Optimize data pipelines and implement monitoring and alerting systems.

Deep dives

Evolution and decision making in a big company

The podcast episode explores the evolution process of ML projects in a big company, focusing on decision-making and the challenges faced in migrating from one technology to another. It highlights the importance of evaluating the effort and potential gain before making design decisions. It also emphasizes the need for commitment, top-down support, and building the right tooling for smooth migrations.

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