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Data News — Week 24.03

Christophe Blefari

But still, even during exercices hands were still down when previous year they were asking me for debugging help. Actually the whole class was using ChatGPT—I did a raising hand survey and everyone said yes. Just after he explains how you can "teach" Bard to reason with a reverse word example in which Bard fails.

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Rise of the MLOps Engineer And 4 Critical ML Model Monitoring Techniques  

Monte Carlo

It is the job of the MLOps engineer to ensure the model performs as well in the real world as it does in the lab, which requires some data science knowledge alongside strong engineering and orchestration skills. That is what JetBlue did as described by data scientist Derrick Olson in a recent Snowflake webinar.

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Stronger together: Python, dataframes, and SQL

dbt Developer Hub

In this post, we’ll give you your hands-on experience and seed your imagination with potential applications. Comparing dataframe libraries ​ Before we get into our hands-on example, let’s take a look at the nuts and bolts of getting your project working with different dataframe types.

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How we shaved 90 minutes off our longest running model

dbt Developer Hub

Here at dbt Labs, we used the Model Timing tab in our internal analytics dbt project to help us identify inefficiencies in our incremental dbt Cloud job that eventually led to major financial savings, and a path forward for periodic improvement checks. Your new best friend: The Model Timing tab ​ The dbt Labs internal project is a beast!