Rahil Parikh
426 posts
Rahil Parikh
@ParikhRahil
AI Scientist at Amazon working on LLMs and Responsible AI #NLPProc, Speech, Trustworthy ML | Prev- @UofMaryland, @bitspilaniindia | Views are my own
San Francisco, CA Se unió Ağustos 2012
947 Siguiendo361 Seguidores
Thinking of hosting more chai and samosas in SF at ours ☕️
Want to come hang out with good people and have fun snacks, lmk below! 🙌
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Excited to share that I have joined @GoogleDeepMind as a research engineer! Looking forward to unlocking exciting capabilities of LLMs 🚀
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@drparikhpurnima @MumbaiPolice @mybmc Please look into this issue that has not been resolved despite of years of complaining
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Thanks everyone for joining my defense! 🙌
Special thanks to my advisors @lambda_calculus and Jeff Foster for their support throughout PhD. Also thanks to @michael_w_hicks, @LeoLambro, and Larry Washington for serving on my committee.
David Van Horn@lambda_calculus
The snake has been incontrovertibly defeated! Congrats Dr. @ngsankha!
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@mybmcwardKW There is open defaecation, urination, bathing, washing, cooking right on the road by occupants of contract buses always parked behind Tilak Udyan in Gulmohar JVPD. Impossible and unsafe to walk there also due to stench. Also schools in vicinity.
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@yadapruksachatk @deliprao @rachel_l_woods Thanks— that’s useful information :-)
I’ll keep a lookout for communities of researchers and builders working on trustworthy AI
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@ParikhRahil @deliprao It depends on what circles you’re looking to be more involved with. It’s very easy to get involved with ML founders/builders (@rachel_l_woods is a good person to follow), but if you’re looking for researchers, they’re more spread out or in certain coliving communities.
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It has been one year since I moved to NY from SF, and I’m not gonna lie — NY is an extremely depressing and lonely place for a builder, even if you are working in the hottest area of AI, LMs, and whatnot. I miss working in San Francisco.
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I’ve moved to Boston 🇺🇸 to work for Apple! Hope to see you around if you’re in the area.
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🤖If LLMs are the foundation for AI, we have a lot to dev and learn from one another.
🤓I'm thinking of running a little sesh (IRL or virtual) to share ideas, tips/tricks, fav tools, design patterns, an open questions w/AI founders + builders.
👋Interested?
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🔥 🔥 🔥 🔥 🔥 🔥 🔥 🔥 🔥
$3.3M to build the future of
Generative Voice AI 🤖🎨
🔥 🔥 🔥 🔥 🔥 🔥 🔥 🔥 🔥
coqui@coqui_ai
🐸 on 📰 forbes.com/sites/cindygor…
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Rahil Parikh retuiteado
Burning bushes every night is a risk to the environment; not to mention the risk of fire to the vehicles around. This is at Tilak Udyan area opposite Arya Vidya Mandir School. Juhu sceme. @MumbaiPolice @AmeetSatam @mybmcwardKW
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A map of the Earth after a sea level rise of 480m... just because
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@shreya8pp @mybmcWardN @mybmc This is located around multiple hospitals and hinders people from using the footpath @ParagShahBJP @manoj_kotak
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@mybmcWardN @mybmc : this public footpath is substantially encroached by this self serving structure on the left leaving negligible place for pedestrians. Can you remove this and restore the footpath please? #mumbaifootpaths
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Rahil Parikh retuiteado
@FastechT Looking forward to meet you at @exploreIMC in Hall 5, Booth 5.23 where we will show our range of test instruments and network visibility solutions for 5G NR.
Do reach out to us at @FastechT
to book an appointment! 1-4 October 2022 in IPTO New Delhi! #IMC2022
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Looking forward to share our work at @eceumd linking speech production and the auditor cortex at @ISCAInterspeech in session- Thu-P-VR-9-3, on Thursday at 10AM KST
isca-speech.org/archive/pdfs/i…
Rahil Parikh@ParikhRahil
3. In 'Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals' we demonstrate a correlation between the brain's representation (cortical features) of speech and the vocal tract parameters using speech inversion
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I'm excited to present this work with @AmazonScience on Wednesday 4PM KST @ISCAInterspeech
amazon.science/publications/i…
Rahil Parikh@ParikhRahil
2. In 'Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Framework' (with @AmazonScience), we show that joint-training with AET improves ASC mainly due to the regularization effect of event tagging and not because the model has learnt the 'events'
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Folks at @ISCAInterspeech, I will be presenting this work on Thursday, Sept 22, 13:30-15:30 KST (Wed, Sept 21, 9:30PM PT)
isca-speech.org/archive/pdfs/i…
Rahil Parikh@ParikhRahil
Stoked to share that all 3 of our papers were accepted at @ISCAInterspeech 1. In 'An Empirical Analysis on the Vulnerabilities of End-to-End Speech Segregation Models', we showed that in contrast to spec based models E2E models are very vulnerable to time-freq discontinuities
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