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    Project Sauron: building a two-tower retrieval model for personalized recommendations at daily.dev

    Project Sauron by daily.dev uses two-tower retrieval models to deliver personalized content to developers, significantly boosting engagement metrics. The model employs deep learning to process user and post features, creating highly relevant recommendations. Efforts are ongoing to improve the model's accuracy and address concerns such as diversity in recommendations and cold-start user issues.