LLMs, OpenAI Dev Day, and the Existential Crisis for Machine Learning Engineering

​Jeremy Howard (Fast.ai), Shreya Shankar (UC Berkeley), and Hamel Husain (Parlance Labs) join Hugo Bowne-Anderson in a Vanishing Gradients livestream to talk about how LLMs are changing the worlds of data science, machine learning, and machine learning engineering, including (but not limited to!)

• ​How they shift the nature of the work we do in DS and ML,

• ​How they change the tools we use,

• ​The ways in which they could displace the role of traditional ML (e.g. will we stop using xgboost any time soon?),

• ​How to navigate all the new tools and techniques,

• ​The trade-offs between open and closed models,

• ​Reactions to the recent Open Developer Day and the increasing existential crisis for ML.

​As a data scientist or ML engineer,

• ​What are you supposed to do as an ML engineer now? 

• ​What kind of skills do you invest in? 

• ​Should you really even focus on training models?

​Let's find out!