Every few years in my career in software, I reread this post. https://t.co/IUdMuIIxYh

— Vicki Boykis (@vboykis) April 30, 2021

Visualizing how #Tesla made its money in Q1 2021. #dataviz #Bitcoin

Source: https://t.co/faH2hIby1l pic.twitter.com/0nMITo6egz

— Randy Olson (@randal_olson) April 29, 2021

Visformer: The Vision-friendly Transformer
pdf: https://t.co/koVlCmMnuU
abs: https://t.co/1YTeVdr2Fg
github: https://t.co/wHVArHwjtv pic.twitter.com/mouLZ9DT94

— AK (@ak92501) April 27, 2021

It's now been almost a year since the New York Times put together this technically impressive yet totally wrong interactive article about how long it would take to get a Covid vaccine. pic.twitter.com/gXzZS5ME2G

— Chris Anderson (@chr1sa) April 26, 2021

Is poisoning ML possible without inserting poison in the model's training set? Yes. @iliaishacked et al. just introduces "data ordering attacks" which are able to target both the integrity and availability of ML simply by *reordering* points during SGDhttps://t.co/4rErkWugiP pic.twitter.com/xx3tNoS64q

— Nicolas Papernot (@NicolasPapernot) April 21, 2021

RoFormer: Enhanced Transformer with Rotary Position Embedding
pdf: https://t.co/2wOHbPx6Ss
abs: https://t.co/LJXnpgFpIK pic.twitter.com/HHCrQ541EV

— AK (@ak92501) April 21, 2021

Facebook is deploying multi-trillion parameter recommendation models into production, and these models are approaching computational intensity of powerful models like BERT. Wrote about research here in Import AI 245: https://t.co/DJpUnl2E78
Paper here: https://t.co/3LNyUpxavN pic.twitter.com/GpBMmkKApU

— Jack Clark (@jackclarkSF) April 20, 2021

Looking to scale BERT inference on CPU? 🧐
Wonder how we maximize hardware utilization while optimizing latency/throughput? 📈
Find out on our latest blog post: Scaling up BERT model inference on CPU. 👀https://t.co/48JLMFj984

— Hugging Face (@huggingface) April 20, 2021

I usually end up writing a small flask app but superintendent seems very nice https://t.co/WsDSGqfpFH

— Mickaël Le Tri (@mkletri) April 20, 2021

I'm using https://t.co/jVlUaV7Bcs. Easy to deploy and configure it.
It has a lot of templates availaible to use. 😁

— Nano (@_schnano) April 20, 2021

if you want to be incredibly niche, the MPEDS Annotation Interface ;)https://t.co/OhtMAOfe5I

seriously tho, it's the piece of dissertation code which has outlived the action "machine learning" part of my dissertation

— Dr. Alex Hanna (@alexhanna) April 20, 2021

The Power of Scale for Parameter-Efficient Prompt Tuning
pdf: https://t.co/CLFjJjxyoV
abs: https://t.co/ppMz6DpRgT

"Our end-to-end learned approach outperforms
GPT-3’s “few-shot” learning by a large margin" pic.twitter.com/DDVuRcc2p9

— AK (@ak92501) April 20, 2021