Ivan

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[Ivan @DemiourgosUA]

@DataTalksClub Looking forward to our chat!

[Ivan @DemiourgosUA]

Do join me for a chat with @DataTalksClub on 8 June. We will talk about the fast moving world of AI for both local and enterprise use.

Free sign-up and live link at https://t.co/9DA8SMLvDj

See you there!

[Ivan @DemiourgosUA]

The ultimate form of the information bubble

https://t.co/p4y8j7ifEK

[Ivan @DemiourgosUA]

@int_osic There is one already by @walterlekh , can these be joined?

[Alexey Grigorev @Al_Grigor]

I feel so powerless when seeing the news about my government killing innocent people

If you also want to support Ukraine against Putin's aggression but don't know how, use this website

https://t.co/uQBEfePEnt

My Ukrainian friends and colleagues recommended me it, so I trust it

[Ivan @DemiourgosUA]

For anyone starting to work on industry-grade NLP projects, these books will help you get started📚:
- Practical NLP Book (https://t.co/ERuuAj9Duw @PracticalNLProc and @anujgupta82)
- Applied NLP in the Enterprise (https://t.co/ERcOR32UR1)

#NLProc #NLP #DeepLearning #ML #AI

[Andrej Karpathy @karpathy]

Even after 4 years I still haven't "solved" labeling workflows. Labeling, QA, Final QA, auto-labeling, error-spotting, diversity massaging, labeling docs + versioning, ppl training, escalations, data cleaning, throughput & quality stats, eval sets + categorization & boosting, ...

[Ivan @DemiourgosUA]

@philipvollet Thank you for sharing, Philip!

[Anthony Fu 🦋 @antfu.me @antfu7]

Not gonna lie, I do feel that @Slidevjs will become the project that I am most proud of, ever.

The video below showing you around 15% of its features at this stage. More to come in the following days. 😉

https://t.co/qAS7stGhyX

[Hugging Face @huggingface]

🤗Transformers v4.5 is out with two new models
- 🐦BigBird
- 🏋️‍♂️GPT-Neo from EleutherAI

And more:
- New examples with the raw training loop
- Trainer supports SageMaker model Parallelism

See why BigBird works so well👇
https://t.co/m3y5aHQBTu

[Hugging Face @huggingface]

$40M series B! 🙏Thank you open source contributors, pull requesters, issue openers, notebook creators, model architects, twitting supporters & community members all over the 🌎!

We couldn't do what we do & be where we are - in a field dominated by big tech - without you!

[Sameer Singh @sameer_]

It wasn't easy to review #nlproc research for an extremely unusual year, but here's an attempt. Listen to the episode or see below for the main themes I covered, and links to some of the representative papers for each (mostly in order I talked about them). Warning: Long thread...

[Practical Natural Language Processing @PracticalNLProc]

@DemiourgosUA Ivan many thanks for the kind words. This totally made our day!

#NLProc #NLP #DeepLearning #MachineLearning #ArtificialIntelligence

[Ivan @DemiourgosUA]

Check out my latest article: Natural Language Processing in 2020: The Year In Review https://t.co/pEUga7zO2V via @LinkedIn

[Jürgen Schmidhuber @SchmidhuberAI]

Quarter-century anniversary: 25 years ago we received a message from N(eur)IPS 1995 informing us that our submission on LSTM got rejected. (Don’t worry about rejections. They mean little.) #NeurIPS2020 https://t.co/ZHDGVA9bv1

[Sebastian Ruder @seb_ruder]

It's been a while..

Here's a new edition of NLP News containing an ML and NLP starter toolkit, a Low-resource NLP toolkit, and discussions of "Can an LM ever understand natural language?" and the next generation of NLP benchmarks.

https://t.co/tJcmSPo7X2 (via @revue)

[Suraj Patil @psuraj28]

Now with Text2TextGeneration pipeline included in @huggingface transformer's master branch, you can do all of these tasks with single pipeline.
Pretty cool!🚀🥳

[Hugging Face @huggingface]

Want speedy transformers models w/o a GPU?! 🧐
Starting with transformers v3.1.0 your models can now run at the speed of light on commodity CPUs thanks to ONNX Runtime quantization!🚀. Check out our 2nd blog post with ONNX Runtime on the subject! 🔥
https://t.co/OzPZ8y6XuW

[Alfredo Canziani @alfcnz]

Week ⑬ videos 🎥 are up! 🎉

Lecture: https://t.co/6t46aOxjjy
Practicum: https://t.co/45EN5FDX52
Transcript: https://t.co/Sz3EhQ83Nf

Learn about:
• conv on graph as template matching;
• … using spectral 👻 theorem;
• (an)isotropic GCNs;
• implementing gated GCNs.

[Thomas Wolf @Thom_Wolf]

Have you worked on *simpler* or *more efficient* models in NLP?

Really?!?

That's super cool!

Then you'll want to submit your work to SustaiNLP 👇

PS: we allow dual submissions!

PPS: deadline is in a week & as all workshop do we'll likely extend it by another week (TBA soon)