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Data Science Bulletin · October 4 · 46 min

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

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. Blog post

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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.


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