GenAI and DE

Since every company is now riding the GenAI bandwagon. How has your work as a DE changed with relation to GenAi? What are some of new changes that have come to your work/ skills expected/ new architecture designs ?

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You mean just making a wrapper around ChatGPT?

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What's the right then DS1?

So far some generative model relationships.
Code rewriting with copilot in VSC
Exploring microsets for quick ML builds.

Enhancements but nothing earth shattering yet

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Growing need for live service deployments instead of offline batch jobs (k8s things many SWEs already do, but many DS teams are now playing catchup).

Upgrading from spark is starting to catch traction, though the conversation isn't new in tech.

Major increase in demand for all things GPU related, obviously.

Structured data teams will likely be less resourced as companies shift budget instead of adding to it.

Configuring pipes for new experimentation tooling is getting another breath at life, but tbd if it turns into major projects.

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Ty ds1!

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