Recent submissions

Comment · 1 year ago
This is very much what dspy aims to address. Learning the incantations necessary to prompt well can be replaced by an algorithmic loop and example labelled cases.
Comment · 2 years ago
This paper is always useful to remember when someone tells you to just use the cosine similarity: https://arxiv.org/abs/2403.05440

Sure, it’s useful but make sure it’s appropriate for your embeddings and remember to run evals to check that things are ‘similar’ in the way that you want them to appear similar.

Eg is red similar to green just because they are colors

Comment · 5 years ago
Comment · 5 years ago
Comment · 5 years ago
systems also need noisy labels..
Comment · 5 years ago
Transformers suffer from a quadratic bottleneck when calculating attention. Much work has been done investigating where memory can be saved by being more explicit on which attentions to calculate. This repo implements transformers with noted improvements
Comment · 5 years ago
ha! no way - I just cited your paper in the comments without noticing you already had.
Comment · 5 years ago
Comment · 5 years ago
Comment · 5 years ago
Comment · 6 years ago
You can train programmers because there is time and there aren’t often lives at stake. Nurses have to hit the ground running in specialist areas where there is (I’d assume) often little time to acquire all necessary skills in order to perform at the required level
Comment · 6 years ago
Is this not a timeseries classification, which they do implement?
Comment · 6 years ago
At this point, the UK is very much in the same state as the US.
Comment · 6 years ago
This is what the mypersonality dataset collected on Facebook was. The 5 axes of OCEAN - Openness, Conscientiousness, Extroversion, Agreeableness and Neuroticism for all those who took the test.
Comment · 6 years ago
The T-Sne view for papers is a killer feature. Loved it for ICLR, glad more will be able to use it. Thank You!

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