DrRavenstein

4 ms·

1.
by DrRavenstein 2y ago
Thanks for the comment. My point - which you actually make for me at the end of your comment - is that this stuff is probably intuitive to an NLP practitioner but not to a lay-person and therefore there's a kind of education/aware
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LLMs can't do probability(brainsteam.co.uk)
161 points by DrRavenstein 2y ago|202 comments
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Can Phi3 and Llama3 Generalise to Bio-Medical Tasks? An Experiment(brainsteam.co.uk)
2 points by DrRavenstein 2y ago|1 comments
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by DrRavenstein 2y ago
I've been investigating how well the smallest Phi3 and Llama3 models do at BioASQ - a biomedical Q&A reading comprehension task. Llama 3 8B is certainly quite competitive and compelling. Phi doesn't do quite as well but there
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Show HN: TurboPilot: Copilot clone runs code completion LLM on your CPU(github.com)
37 points by DrRavenstein 3y ago|4 comments
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by DrRavenstein 5y ago
This headline and article are horrible and misrepresent the problem and the outcome. The paper is about the manual process of re-assigning a credit score on a scale of 1 to 15 based on other customer criteria. Really the fact that this proc
7.
by DrRavenstein 5y ago
The article is a bit rubbish. They're not predicting on the binary "would we give these people a loan or not" but they're predicting manual corrections fo credit scores by bank managers. It's a 15 way classification
8.
by DrRavenstein 5y ago
Difference is that random decision forests learn the rules for themselves, they don't have to be programmed in manually by experts. They're one of the most performant "pre-deep-learning" machine learning models and a sen