peadarohaodha

5 ms·

1. 1.▲
   by peadarohaodha 1y ago

   Would love to have a good selection of keyboard shortcuts! Power Vibe Kanban
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   Four lessons from a year building tools for machine learning(humanloop.com)

   76 points by peadarohaodha 5y ago|16 comments
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   by peadarohaodha 6y ago

   Thanks for the feedback! It's a good question re compute. There are some fun engineering and ML research challenges that we are constantly iterating on that are related to this. A few examples - how to most efficiently share compute r
4. 4.▲
   by peadarohaodha 6y ago

   We've found you can get an order of magnitude improvement in the amount of labelled data you need - but there is some variance based on the difficulty of the problem. Because you are retraining the model in tandem with the data labelli
5. 5.▲
   by peadarohaodha 6y ago

   adding to what Raza said - a consideration for both active learning and weak supervision is the need to construct a gold standard labelled dataset for model validation and testing purposes. At Humanloop, in addition to collecting training d
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   by peadarohaodha 6y ago

   Adding to what Raza as said - to your point on "real active learning" hardly working. I would be interested to hear what approaches you took? We've found that the quality of the uncertainty estimate for your model is quite i
7. 7.▲
   by peadarohaodha 6y ago

   Our default deployment option is cloud first for both training and inference at the moment, but we have thought about the ability for users to export a trained model. Either exporting the model parameters in some standardised format, or a c