#machinelearnning — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #machinelearnning, aggregated by home.social.
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👍🏻 GPT-4 is here – join the live demo for developers at 1 pm PDT ! 🪄 #GPT4 a large multimodal model!
- You can use images as inputs and generate captions, classifications, and analyses.
- It can generate/edit creative and technical writing: songs, screenplays, or learn a writing style.
- It can handle 25,000+ words. it passes a simulated bar exam with a score around the top 10% of test takers. https://openai.com/research/gpt-4 #MachineLearnning
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DARPA is accepting applications to attend a virtual event June 13-16, 2023 and an in-person event in Boston July 31-August 2, 2023 in which participants will address the question: How do we build artificial intelligence and machine learning systems that people can trust?
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DARPA is accepting applications to attend a virtual event June 13-16, 2023 and an in-person event in Boston July 31-August 2, 2023 in which participants will address the question: How do we build artificial intelligence and machine learning systems that people can trust?
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What learning algorithm is in-context learning? Investigations with linear models https://arxiv.org/abs/2211.15661
…investigates the hypothesis that transformer-based in-context learners implement standard learning algorithms implicitly, by encoding smaller models in their activations, and updating these implicit models as new examples appear in the context. -
What learning algorithm is in-context learning? Investigations with linear models https://arxiv.org/abs/2211.15661
…investigates the hypothesis that transformer-based in-context learners implement standard learning algorithms implicitly, by encoding smaller models in their activations, and updating these implicit models as new examples appear in the context. -
❤️ A fast, ChatGPT-like assistant for your mac. Personalized to you — and your work. 👍🏻 Your personal, intelligent AI — always one second away! #Embra can pull in contextual data from #Chrome and other apps to speed up and unlock creativity across Q&A, brainstorming, writing, reading, and coding.
Get beta access! https://embra.app/ #MachineLearnning
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👍🏻 10X Your Productivity in Excel with ChatGPT - You no longer have to be an Excel wizard to become super productive. https://link.medium.com/MUWC4FOTXwb #MachineLearnning #productivity #microsoft
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http://www.rizbicki.ufscar.br/ame/
Izbicki, R. e Santos, T. M. dos. Aprendizado de máquina: uma abordagem estatística. 1ᵃ edição. 2020. 272 páginas. ISBN: 978-65-00-02410-4 #AprendizadoDeMaquina #MachineLearnning -
http://www.rizbicki.ufscar.br/ame/
Izbicki, R. e Santos, T. M. dos. Aprendizado de máquina: uma abordagem estatística. 1ᵃ edição. 2020. 272 páginas. ISBN: 978-65-00-02410-4 #AprendizadoDeMaquina #MachineLearnning -
Just a couple of hashtags to attract like minded people to hang out on #mastodon :
#deeplearning #MachineLearnning #medicalimaging #BioImageAnalysis #math #statistics .....
Folks, if you work with above topics ( and science in general), I'd love to follow you! -
Just a couple of hashtags to attract like minded people to hang out on #mastodon :
#deeplearning #MachineLearnning #medicalimaging #BioImageAnalysis #math #statistics .....
Folks, if you work with above topics ( and science in general), I'd love to follow you! -
@[email protected] not doing #AI research but I apply #MachineLearnning in #Science , in particular #microscopy . For example, In my last project I used #neuralnetworks to solve the inverse problem of retrieving the phase of electron wavefunctions from diffraction patterns.
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How to speed up data processing with NumPy vectorization.
Depending on the methods you typically use it could be up to 8000 times faster!
https://link.medium.com/ZPue5ZpjVub
or
https://www.thetestspecimen.com/posts/numpy-vectorize/
#python #numpy #vectorization #datascience #MachineLearnning #deeplearning #pandas
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@chrisalbon gotta wrangle folks with hashtags, so hey #MachineLearnning #ML and #DataScience folks, any recs?
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Been expanding work benchmarking #TabPFN against more standard #tabular classification methods.
Here’s a comparison of training accuracy on Census data as a function of training set size. #XGBoost produces equal accuracy to TabPFN’s max training size using just 500 records - half(!) as many!
XGB does 1.5% better on an equal training set size (1024), and 5% better using the full data (30k points).