Has AI ever understood a joke? PS: These twitter slop generators really piss me off. Wtf is the point of them?
@jeremyphoward
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Terminal Code Editor Innovation Needed Now
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If only there was a code editor you could use directly in a terminal. Someone should look into that.
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FastHTML Documentation on Large Language Models
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Not a list, but here's an example that matters a lot to me personally: https://
fastht.ml/docs/llms.txt -
LLM User Agent Compatibility and Integration Options
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Any LLM that a user chooses to use it with.
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Why llms.txt Files Are Essential for Information Organization
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In other news – hopefully y'all can start to understand why llms.txt files are so damn useful… E.g see that client down there – it now has everything it needs to know exactly where to find any info you require.
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Feature Issue: Failed URL Loading for LLMs.txt Files
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Love this feature, but it fails to load a *lot* of URLs I give it, including many of my lovely llms.txt files! :O
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GRU Neural Networks Rise in Deep Learning Research
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I also didn't realise you were on this paper Rupesh. So cool! How do you feel about the rise of GRU and friends nowadays? https://
arxiv.org/abs/1503.04069 -
Feature Importance Method Comparison in Machine Learning
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Oh yes, marvelous paper from @FrankRHutter
. Embarrassingly I only discovered it after I was done, although my super-basic approach (regular rf gini feature importance and fairly naive sampling) actually turned out just fine. -
Flexicache: New Flexible Cache Decorator for Fastcore
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Thanks to @pydanny
, here's a wonderful article describing a useful new fastcore feature: `flexicache`. It's a super-flexible cache decorator which comes with 'mtime' and 'time' policies ootb, but you can add your own with just a few lines of code. -
Random Forests: A Fundamental Machine Learning Technique Explained
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PS: This isn't a recent addition — I was just reminded about it when I came across Lukas mention in this video, and realised I'd never actually said anything about this. 🙂 Random forests are just so damn cool.
