Szilard Pafka @SzilardPafka
physics PhD, chief (data) scientist, meetup organizer, (visiting) professor, machine learning benchmarks szilard.github.io/aboutme/ The Woodlands, Texas 🇺🇸 Joined February 2014-
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Reminder: This talk is tomorrow: Szilard Pafka on "Gradient Boosting Machines (GBMs) in the Age of LLMs and ChatGPT" - online talk on Tue, Aug 19 6pm CT | 7pm ET | 4pm PT. RSVP and get the zoom link here: meetup.com/real-data-scie…
Looking forward to this: rebooting the data science meetup with Szilard Pafka on "Gradient Boosting Machines (GBMs) in the Age of LLMs and ChatGPT" - online talk on Tue, Aug 19 6pm CT | 7pm ET | 4pm PT. RSVP and get the zoom link here: meetup.com/real-data-scie…
Happy Friday! Vote on this poll: x.com/SzilardPafka/s…
Happy Friday! Vote on this poll: x.com/SzilardPafka/s…
2024 update: What gradient boosting machine (GBM) library have you been using the most this year?
P(doom) in the next 50 years (probability that AI will destroy or significantly degrade human civilization) is
GPT-4 with simple engineering can predict the future around as well as crowds: arxiv.org/abs/2402.18563 On hard questions, it can do better than crowds. If these systems become extremely good at seeing the future, they could serve as an objective, accurate third-party. This would…
Why do Random Forests perform so well off-the-shelf & appear essentially immune to overfitting?!? I’ve found the text-book answer “it’s just variance reduction 🤷🏼♀️” to be a bit too unspecific, so in our new pre-print arxiv.org/abs/2402.01502, @Jeffaresalan & I investigate..🕵🏼♀️ 1/n
@XGBoostProject continue supporting the data science community after so many years. Kudos to @hcho3_ml , who spent countless efforts leading the XGBoost development. Let the forest continue to grow 🌴🌳
@XGBoostProject continue supporting the data science community after so many years. Kudos to @hcho3_ml , who spent countless efforts leading the XGBoost development. Let the forest continue to grow 🌴🌳
Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have? Here are 60 LLMs getting it wrong. benchmarks.llmonitor.com/sally
Incredibly, the placebo effect is (mostly) not real. It is a result of statistical confusion. Whenever you have a group with extreme values, they tend to exhibit regression to the mean. Eg. on average, sick people tend to become more healthy over time. Thus if you give one…
Incredibly, the placebo effect is (mostly) not real. It is a result of statistical confusion. Whenever you have a group with extreme values, they tend to exhibit regression to the mean. Eg. on average, sick people tend to become more healthy over time. Thus if you give one… https://t.co/8AOqGbyGtl
Steve Jobs Perfectly explaining AI in 1981 Legendary
How likely is that AI will destroy human civilization in the next 100 years?
Thanks for this hot take dude who doesn't know the 60 year history of databases. H/T @prempv Mike and I have a WIP paper that analyzes all the (failed) attempts to replace SQL + relational model. This tweet has motivated me to finish it and submit it.
Thanks for this hot take dude who doesn't know the 60 year history of databases. H/T @prempv Mike and I have a WIP paper that analyzes all the (failed) attempts to replace SQL + relational model. This tweet has motivated me to finish it and submit it. https://t.co/WdBuiCJAgd
Announcing the Week 2 update for the Chatbot Arena leaderboard! We've added some new models that are showcasing strong performance. Currently, @OpenAI's GPT-4 and @AnthropicAI's Claude lead the pack, with open-source models in hot pursuit. More findings: lmsys.org/blog/2023-05-1…
The problem with the debate on AI is twofold. First, the defenders of AI all seem to be quite heavily invested in AI. Second, they mostly acknowledge that there is at least some risk in developing AIs with intelligence superior to ours. bloomberg.com/opinion/articl… 1/4
Real world eval: GPT-4 absolutely crushes Bard in a rap battle

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