Quantum Gardener · @dcbuchan
56 followers · 495 posts · Server aus.social

If your (scratch that ) presentation is all about how great it is, and you fail to mention any limitations, I'm not buying what you're selling.

#ai #lmm

Last updated 1 year ago

Tremendous essay!

"Big-model A.I. is made of people—and the way to open the black box is to reveal them."

"In a world with data dignity, digital stuff would typically be connected with the humans who want to be known for having made it."

"if we treat our inventions as occult objects, we can hardly be good engineers"

newyorker.com/science/annals-o

#artificialintelligence #ai #largelanguagemodel #lmm #digital #creativity #credit #accountability #safety #dignity #people #humanity #engineering

Last updated 1 year ago

Mark Dunk · @unklar
452 followers · 2409 posts · Server mastodon.education

"By adopting the techniques discussed in this article, you can effectively leverage ChatGPT to answer natural language questions on a variety of text repositories, such as your personal emails, corporate knowledge bases like Confluence, or any other collection of textual data."

aronbrand.medium.com/using-cha

#artificialintelligence #ai #machinelearning #ml #largelanguagemodel #lmm #chatgpt #technology #software #embedding #data #context #naturallanguageprocessing #nlp

Last updated 1 year ago

"ChatGPT is fluent at bullshitting. It doesn’t know anything. It’s just trying to write convincingly ...

As it turns out, ChatGPT also appears to bullshit when it’s writing code, too"

betterprogramming.pub/why-chat

#artificialintelligence #ai #machinelearning #ml #largelanguagemodel #lmm #chatgpt #technology #software #engineering #development #coding

Last updated 1 year ago

"While I’m delighted by ChatGPT, I’m less delighted by human gullibility and the bumpy ride that all generative AI — not just ChatGPT — will be taking society on. We’ll need to learn different trust habits for our forays online and I shudder when I think of the teething pains as we all get up to speed."

kozyrkov.medium.com/introducin

#artificialintelligence #ai #machinelearning #ml #largelanguagemodels #lmm #chatgpt #prompt #model #content #generate #keyword #business #code #development #engineering

Last updated 1 year ago

echi (🙋🏻,🦣 e 🫵🏼) · @emc
13 followers · 50 posts · Server mastodon.cloud

🎉💸 Già un mese di ... è volato! Soldi ben spesi... anzi benissimo! 💰🤖

#chatgptplus #intelligenzaartificiale #ai #naturallanguageprocessing #nlp #lmm

Last updated 1 year ago

@thelmaphillips May I suggest a slate of the 1800s variety... 😂 Also, doing 'the kitchen rant' of how would she like to be called ugly etc. would also be entertaining...

I think I know what movie I'm going to be watching tonight...

#pei #anneofgg #lmm

Last updated 2 years ago

Sergio Bastos · @SergioBastos
33 followers · 56 posts · Server mastodon.cloud

Podiam os valer mais nos bancos nacionais? Poder podiam. Entretanto, os maquias de 1.409,32 ME só em outubro. Ter no banco a 0,05% e pagar taxas... não dá saúde financeira.

Gráfico retirado da homilia domingueira de

#lmm #DepósitosaPrazo #CertificadosdeAforro

Last updated 2 years ago

Do any of you guys have a good example of application of mixed models, on a publicly available dataset?

#linearmixedmodel #lmm #lme4 #rstats

Last updated 2 years ago

Dr Helen Metcalfe · @hmetcalfe
49 followers · 11 posts · Server mastodonapp.uk

Been playing around with dumbbell plots in looking for ways to show predicted means from an with standard errors.

I've come up with this option overlaying the dumbbell showing the means over smaller dumbbells showing SEPs for each treatment but wondering if there is a way to jitter/adjust the alignment to see the overlapping parts a bit better

Ps I know the errors are huge, I have a LOT of very noisy data…that’s for you!

#ggplot2 #lmm #ggalt #dataviz #rstats #ecology

Last updated 2 years ago

fx dechaume-moncharmont · @fxdm
428 followers · 442 posts · Server mamot.fr

Remarkable robustness of linear ‐effects models. It does not give a blank cheque for reckless statistical analysis, but it certainly is good news for scientists having to deal with deviations from textbook’s unrealistic assumptions regarding data .
📄 Schielzeth et al (2020) Methods in Ecology and Evolution dx.doi.org/10.1111/2041-210X.1

#mixed #distribution #science #statistics #regression #lmm

Last updated 4 years ago