Jerry Liu - Building LlamaIndex, the Data Framework for LLMs
The MaML Podcast - Medicine & Machine Learning
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What Was Machine Learning Engineering Like Before Large Language Models?
A lot of my background has been in the kind of like traditional ML space. But a lot of paradigms that are emerging these days is really on how can you take a pre trained model and then just extract value from that. How can you hook this up into some overall application pipeline and focus a little bit less on the training set? And so I think that part is interesting because it's kind of like it kind of necessitates changes"
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