#pydataamsterdam2023 — Public Fediverse posts

@pydataamsterdam #PyDataAmsterdam2023 coming to an end. I'm logging off from here already - had an *amazing* time, and will definitely try to attend again in coming years. See you soon #PyData family!

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And last talk of the day: "Using AI to make Amsterdam greener, safer and more accessible"

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After a bit of a break, now @ritchie46 will tell us about Polars expressions in depth!

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@pydataamsterdam @koaning This is weird but I'm crying. @koaning's keynote resonated with me so damn much for many reasons. I've often reflected about programming as a form of creative expression and how we coders have an underused superpower, and Vincent eloquently articulated so many good examples of this. Don't miss the recording when it's out.

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Last day of #PyDataAmsterdam2023: the mighty @koaning giving the final keynote: Natural Intelligence is All You Need

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@pydataamsterdam Thomas kind of dodged my question on the enforceability of OpenRAIL 😇 so happy that they exist anyway, it's a conversation we need to have.

(RAIL = Responsible AI Licenses)

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Impressive results from Hugging Face: proper filtering of web data can match or exceed performance of commercial models trained on highly curated datasets.

Dataset: https://huggingface.co/datasets/tiiuae/falcon-refinedweb
Paper: https://doi.org/10.48550/arXiv.2306.01116

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@pydataamsterdam "Choice of training data is the most important [part] of an LLM!"

Data quality improvements "can be equivalent to a 2x-3x increase in size"

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@pydataamsterdam So excited to see the Thomas Wolf and more from the Hugging Face 🤗 giving a promising closing keynote! Just this Monday I was working with some colleagues on a HF + @kedro integration that hopefully will go open source soon.

"2000+ models in the Hub are private"

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Spotting what I call the "Jim Downling classification of data pipelines" in this promising talk by Hopsworks

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The one an only James Powell @dontusethsicode with “the most boring talk title in only three words”

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James, you and I know this is not true 😈

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Ana Chaloska “To One-Hot or Not: A guide to feature encoding and when to use what” is completely full!

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@pydataamsterdam Ok, doomer 😂

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@pydataamsterdam Listening to @adrin describe in all detail how `pickle` can be exploited 😁

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Arrived to #PyDataAmsterdam2023 !

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