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Build TikTok's Personalized Real-Time Recommendation System in Python with Hopsworks скачать в хорошем качестве

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Build TikTok's Personalized Real-Time Recommendation System in Python with Hopsworks
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Build TikTok's Personalized Real-Time Recommendation System in Python with Hopsworks

🔊 Recorded at PyCon DE & PyData Berlin 2024, 22.04.2024 https://2024.pycon.de/program/DPGRGW/ 🎓 Watch Jim Dowling, CEO of Hopsworks, build TikTok's personalized real-time recommendation system in Python, including a feature store, vector database, and model serving infrastructure, in this engaging tutorial! Speakers: Jim Dowling Description: Jim Dowling, the CEO of Hopsworks and an Associate Professor at KTH Royal Institute of Technology, guides the audience through building TikTok's personalized real-time recommendation system. The talk highlights the success of TikTok's Monolith recommendations engine, equated to "digital crack" by Andrej Karpathy, former head of AI at Tesla. The session focuses on constructing the core elements of TikTok Monolith, comprising a stream processing feature pipeline, a two-tower embedding model for tailored queries based on user history, and a user interface in Python using Streamlit. The real-time machine learning system comprises three Python programs: the feature pipeline, training pipeline, and online inference pipeline, all supported by Hopsworks platform's ML infrastructure, encompassing a feature store, vector database, model serving, and model registry. Attendees get hands-on experience developing these components and witnessing the system in action through a simple user interface. ⭐️ About PyCon DE & PyData Berlin: The PyCon DE & PyData conference unite the Python, AI, and data science communities, offering a unique platform for collaboration and innovation. The PyCon DE & PyData Berlin 2024 conference, hosted in partnership with the local Berlin PyData chapter, provided an exceptional experience, fostering deeper connections within the Python community while showcasing advancements in AI and data science. Attendees enjoyed a diverse and engaging program, solidifying the event as a highlight for Python and AI enthusiasts nationwide. Follow us: • LinkedIn:   / 28908640   • X: https://www.x.com/pyconde • X: https://www.x.com/pydataberlin Links: • Conference website: http://pycon.de • Related sessions: http://2024.pycon.de/program/categori... The conference is organized by • Python Softwareverband e.V.: http://pysv.org • NumFOCUS Inc.: http://numfocus.org • Pioneers Hub gemeinnützige GmbH: http://pioneershub.org If you enjoyed this session, please like, comment, and subscribe to our channel for more insightful talks and discussions. Share this video with your network to spread the knowledge! Hashtags: #Python #PyConDE #PyData #OpenSource #AI #DataScience #MachineLearning #SoftwareDevelopment #LLMs #Community Acknowledgements: Special thanks to all the volunteers and sponsors who made this event possible. About: Python Softwareverband e.V.: PySV is a non-profit that promotes the use and development of Python in Germany through events, education, and advocacy, fostering an open Python community. NumFOCUS Inc. supports open-source scientific computing by providing financial and logistical support to key projects like NumPy and Jupyter, promoting sustainable development and collaboration. Pioneers Hub gemeinnützige GmbH: is a non-profit fostering innovation in AI and tech by connecting experts and promoting knowledge exchange through events and collaborative initiatives. www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

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