Data Science Bulletin

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DSBP #24 [CZ] - GenRec and Reverse Engineering

Data Science Bulletin is a podcast about news in space of data science, artificial intelligence and machine learning. We bring you views of people "on the ground", implementing these methods into industry setting. Podcast in Czech, accompanying posts and newsletter in English.

In the 24th episode of the Data Science Bulletin podcast, hosts delve into a Netflix paper focusing on the GenRec model, an LLM-backed recommendation ranker designed to optimize content recommendations on the platform. They explore how Netflix has expanded its offerings beyond films to include podcasts and games, and discuss the challenges in recommendation systems as well as the implications of reverse engineering in the software industry. The episode concludes with a lively discussion on the potential impacts of reverse engineering and open-source alternatives on major software companies. <a href="https://datasciencebulletin.com/?p=1641" target="_blank" rel="noopener noreferer">blog post</a>

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DSBP #24 [CZ] - GenRec and Reverse Engineering

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