Data Science Bulletin

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DSB Podcast #23 [CZ] - Graph Engineering and Jev

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 this episode of the Data Science Bulletin podcast, hosts discuss the evolving concept of graph engineering, exploring how it can provide a more structured and deterministic framework for working with AI models compared to traditional methods. They also delve into the introduction of Jev, a new language model from Typesafe AI, which boasts rapid decision-making capabilities and cost efficiency for classification tasks. The episode concludes with a discussion on the potential risks of AI development, highlighting recent industry concerns about AI safety and the implications of rapid technological advancements. <a href="https://datasciencebulletin.com/uncategorized/dsb-podcast-23-graph-engineering-and-jev/" target="_blank" rel="noopener noreferer">Blog post</a>

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DSB Podcast #23 [CZ] - Graph Engineering and Jev

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