Julia

Born after the World Wide Web. ⚠️ I might talk a lot about machine learning.

[DidierGirard［Ξ］🏃🐝🐦 ⚛️ @DidierGirard]

Hello @langchain,

We have 80 face-to-face participants for this meetup (sold out), and 420 remote participants.

That's 500 people in all.

-> This prompts the question: Could this be the largest meetup globally focused on your technology?

<- Your technology is top-notch, it significantly advancing the LLM/GenAI ecosystem, bringing it to new levels.

Thank you for your excellent work.
https://t.co/zU9QabVljn

[Lorenzo Franceschi-Bicchierai @lorenzofb]

NEW: This is the device that confused and concerned attendees at @defcon by triggering pop ups on their iPhones.

The researcher who created it explained how it works, and what are the risks iPhone users face when these spoofed messages pop up.

https://t.co/J19L9p0DeR

[Julia Hobsbawm @juliahobsbawm]

Good work from a German ad agency which reads "protect the wildlife before it's too late"

[Soumith Chintala @soumithchintala]

No More GIL!
the Python team has officially accepted the proposal.

Congrats @colesbury on his multi-year brilliant effort to remove the GIL, and a heartfelt thanks to the Python Steering Council and Core team for a thoughtful plan to make this a reality.

https://t.co/58QK2yctRD

[MIT Sloan Management Review @mitsmr]

A lack of communication is still a form of communication — and it usually breeds mistrust and gossip. @fosslien https://t.co/SbGNLbGf7t

[François Chollet @fchollet]

Most misconceptions about AI would be cleared if folks had a decent understanding of the distinction between skill and intelligence, and between memorization and generalization.

[clem 🤗 @ClementDelangue]

Excited to announce our multi-modal agent API that can automatically chain 100,000+ of HF models (stable diffusion, whisper, OpenAssistant,...) for text, audio, image, video, time-series,… based on your commands.

All open-source so it can work locally!

https://t.co/Xxq4y2QBOu

[Ari Kouts @arikouts]

La recherche sur Google
"Regenerate response" site:.fr
C'est fantastique #ChatGPT

[François Chollet @fchollet]

The most powerful debugging tool: walking away from your computer.

[Jeremy Howard @jeremyphoward]

Sometimes it feels like NLP papers prior to 2020 don't exist...

(Bidirectional autoregressive models have been common for many years, and were for instance used in ULMFiT.)

[MMitchell @mmitchell_ai]

Tired of cliché images of AI? This effort seems very cool.
https://t.co/DYYCXVzfAF

[Sasha Luccioni, PhD 🦋🌎✨🤗 @SashaMTL]

Me, reading *peer-reviewed* papers that anthropomorphize AI models and say that they "choose" their own parameters.

[WiMLDS Paris @WiMLDS_Paris]

@bettymoreschini @lrnt_chloe @juliafterwork @VictoireLouisC @math_rachel @ledell If you have ideas of papers, authors, or topics you would like to see in this serie of #FridayWiMLDSPaper, send us a message!

[WiMLDS Paris @WiMLDS_Paris]

It's our week #200 of #FridayWiMLDSPaper!! We are very proud of this accomplishment, and we would like to thank everyone who participated into it, among them: @bettymoreschini, @MarinaVinyes, @lrnt_chloe, @juliafterwork, @VictoireLouisC, @math_rachel, @ledell, and the team!

[François Chollet @fchollet]

The tech industry prides itself on being data-driven, but for the most part it is moved by narratives, and those narratives are more often than not untethered from actual data.

[Julia @juliafterwork]

@DFintelligence @01net C’est l’effet Streisand. Bon courage et merci de le signaler car effectivement c’est très fatiguant :-)

[Cristian Garcia @cgarciae88]

Meta is really publish for Open Source ♥️

Actions speak louder than having "Open" in your company name

[Julia @juliafterwork]

AWS Partner Summit après le Game Day avec la Team @SFEIR où on finit 4èmes sur 11 équipes et 1er sur le ML 🥳#AWSSummit

[Aparna Dhinakaran @aparnadhinak]

Thank you @ClementDelangue and @huggingface for #WoodstockAI! Haven’t seen this level of energy

The LLaMas and walking emoji were just *chef’s kiss*

#WoodstockAI #huggingface #llm #oss #ai #ml

[Sam Bowman @sleepinyourhat]

As a specialist in evaluating language models, I declare that this is the best way of evaluating language models: