Top Tweets for #googlepair
Want scientific evidence that developers wish to constrain LLM outputs? 🤖🔒 Check out our latest work at #CHI24 with insights on developers' preferences & potential benefits of LLM constraints, plus a tool to help you prototype constraints! #googlePAIR https://t.co/7MEd0DbOq4
Google's PAIR case study with Omni Hotels reveals a 4x conversion rate increase! A game-changer for digital ads? 🚀 #GooglePAIR #TargetedAdvertising @RyanBarwick https://t.co/xMMQDHEGi3
Excited to finally share our team's work on MakerSuite, a tool that helps you prototype your own generative AI applications! #google #makersuite #googlePAIR
Excited about PaLM API: an easy and safe way for developers to build on top of our language models, and MakerSuite, a tool to jumpstart prototyping - both in private preview today. @googlecloud customers can also access these models + more via Vertex AI.
https://t.co/ajijHlgdMh
Models trained on real-world data can encode real-world bias. Hiding information about protected classes doesn’t always fix things — sometimes, it can even hurt. An intuitive article coupled with some powerful visualization by the #GooglePAIR team.
🔗https://t.co/BNRgMzAAxR
Excited to announce v0.5 of the @GoogleAI Learning Interpretability Tool (🔥LIT), an interactive platform to debug, validate, and understand ML model behavior. v0.5 includes exciting features and a new name! https://t.co/P9UcMzFSn2 #NLProc #googlePAIR (1/7)

Check out this blogpost about our past 2 years of #HCI + #ML work on enriching human creativity via human-AI interaction with generative models! Joint work between @GoogleMagenta and #googlePAIR
One of things I love about Magenta is getting to push ourselves to go beyond just modeling data and strive to actually empower individual creativity with ML.
A new blog post with @RyanCLouie @Carryveggies and @huangcza summarizes some of our recent work:
https://t.co/jJ7J1JllOF
Excited to announce version 0.4 of the @GoogleAI Language Interpretability Tool (🔥LIT), our open-source visualization and understanding platform for NLP and more. Tons of new features! https://t.co/P9UcMzWVp2 #NLProc #googlePAIR (1/7)

1/3
"We went to Brazil because we wanted to escape" vs
"We went to Japan because we wanted to study"
Check out @adamrpearce's language model explorable, showing what models like BERT have learned about the world. #googlePAIR
Type your own queries:
https://t.co/tO2pJQJV7v

Thrilled to see Know Your Data launch! The tool brings a new level of transparency to ML data, code free, allowing a broad set of stakeholders to ask critical questions https://t.co/cvpUdL1grN
Creation of @nsthorat and @dsmilkov in #googlePAIR; collaboration with @GoogleSRE team
The launch effort was truly a fun team effort, including but not limited to: @MoVonLagos, @hmiomiso, Arthur Hyun, Chris Forker, Giselle Font, Sterling Stein, @dsmilkov, @nsthorat, @LudovicPeran, @m_pellat, our friends in L7 routing SRE, and many other #GooglePAIR folks :)
I'm grateful to work at a company that rolls up its sleeves to fight ML bias. I formed a 20% Reliability/Productivity team to launch #KnowYourData at scale: https://t.co/5FHftYRp8c. Just another day in my @LifeAtGoogle #wearehiring #sre #engprod #fightmlbias #GooglePAIR #GoogleIO
🛠 Building the Responsible AI Toolkit.
Today at #GoogleIO, we announced a new dataset exploration tool, Know Your Data! Learn how to integrate Responsible AI practices into your ML workflow in this session with @LudovicPeran and @catherina_xu.
Watch → https://t.co/v73rx9jJWR
Today at GOOGLE PAIR symposium!
People + AI Research #googleai #googlepair #datafeminism
@kanarinka @ALBredenoord @GoogleAI

but also, on that note, here's an essay I wrote at the beginning of 2019 that was researched during my #GooglePair residency that found a lovely home with @interactionsMag thanks to @danielarosner!
read it here: https://t.co/D2SH8AG9mO
AI Explorables | PAIR
Check out AI Explorables
Big ideas in machine learning, simply explained
With graphics and clarity, #GooglePAIR brings the challenges of #DataScience to a wider audience https://t.co/G9G782YQhv
What happens when 61 people from 8 countries try to song-write with AI? Read more about the challenges people faced and their strategies w/ ML, in our write-up:
Paper: https://t.co/muoOA967Dt
Blogpost: https://t.co/EQSoWo2Fiw
#googlePAIR @GoogleMagenta @GoogleAI #ismir2020
Remember the #aisongcontest? Follow our #ismir2020 paper backstage to learn about the challenges musicians face when songwriting with AI, and how we might design ML to better support musicians’ needs and workflows.
Blog post: https://t.co/YmglQ3laga
How do you visualize techniques for data collection that help preserve privacy?
Thrilled to see this new #googlePAIR AI Explorable by @adamrpearce and @EllenJiang2--launched today!
The availability of giant datasets and faster computers is making it harder to collect and study private information without inadvertently violating people’s privacy.
@EllenJiang2 and I took a look at how random numbers can help.
https://t.co/LLSRTlu91K
Another great article by #GooglePAIR #PAIRGuidebook with @spotifydesign 's @designedbymat ! If you're interested in #mlux take a look 👀🤖
https://t.co/MwI7DvvXke
📗👀 Super fun to see what #GooglePAIR (aka #PAIRGuidebook) folks are reading this August! #mlux @mluxmeetup take a look! #aiux #ai #ux #ml
https://t.co/MFBI9wnnnB
Excited to see the Language Interpretability Tool (LIT) launched! Data visualization for NLP models; what could be better? :)
This is a collaboration between #googlePAIR and NLP researchers at @googIeresearch
Introducing an early-release version of the Language Interpretability Tool (LIT), a visual, interactive, and extensible open-source tool for analyzing all sorts of NLP models 🔥
Code: https://t.co/4CCWiAMPMk
Paper: https://t.co/2bkfx0C5lt
#NLProc
(1/4)
Check out this @projectsbyif @GoogleAI #GooglePAIR q&a on #ai, #aiethics, society-centered design, and more!! 👀
#mlux
https://t.co/vIUha8oiwS
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