Joined October 2018
216 Photos and videos
Pinned Tweet
#ExploreML, an experience that helped Me grow. The two Bootcamps in Hyd and the lovely sessions in Cal will always remain special and memorable. Thanks @Nikkitagandhi @AidaMartinez88 @GoogleDevsIN for this wonderful opportunity. Will keep this in an album 🎓 #MemoriesForLife
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What is "as discussed last week", one should realise we clear our Cache over the weekends 😶‍🌫️ #MondayBlues
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Well I cleared with this amazing view and ..... ✨
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I need atleast 1 Quarter to study full time and complete all the @coursera & @udemy courses I have bought over the years !! It ranges from Photography to LLMs 🥲 #NewYear2024
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Happy New Year 2024 ✨ Fresh perspectives, newer hopes & new learnings ...
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A year wiser and a 🤏 more matured, maybe ! Looking back to this year, I see an ocean of changes, turmoils, sad times which got healed by the happier ones.🎂 8th Dec and just another day in the City of Joy ♥️
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Avijit Chakraborty ⛄ retweeted
6 Dec 2023
I’m very excited to share our work on Gemini today! Gemini is a family of multimodal models that demonstrate really strong capabilities across the image, audio, video, and text domains. Our most-capable model, Gemini Ultra, advances the state of the art in 30 of 32 benchmarks, including 10 of 12 popular text and reasoning benchmarks, 9 of 9 image understanding benchmarks, 6 of 6 video understanding benchmarks, and 5 of 5 speech recognition and speech translation benchmarks. Gemini Ultra is the first model to achieve human-expert performance on MMLU across 57 subjects with a score above 90%. It also achieves a new state-of-the-art score of 62.4% on the new MMMU multimodal reasoning benchmark, outperforming the previous best model by more than 5 percentage points. Gemini was built by an awesome team of people from @GoogleDeepMind, @GoogleResearch, and elsewhere at @Google, and is one of the largest science and engineering efforts we’ve ever undertaken. As one of the two overall technical leads of the Gemini effort, along with my colleague @OriolVinyalsML, I am incredibly proud of the whole team, and we’re so excited to be sharing our work with you today! There’s quite a lot of different material about Gemini available, starting with: Main blog post: blog.google/technology/ai/go… 60-page technical report authored by th Gemini Team: deepmind.google/gemini/gemin… In this thread, I’ll walk you through some of the highlights.
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Avijit Chakraborty ⛄ retweeted
Mick Jagger was in Kolkata watching the English cricket team take on Pakistan. Interestingly, the famous Rolling Stones 'tongue logo,' was inspired by images of the goddess Kali. But many don't know that Jagger is a cricket nut, watches the game around the world and..
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Avijit Chakraborty ⛄ retweeted
Well played Virat. It took me 365 days to go from 49 to 50 earlier this year. I hope you go from 49 to 50 and break my record in the next few days. Congratulations!! #INDvSA
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So that moment finally happened when you book a bike and a "Royal Enfield" comes to pick you up .. Ya he does it for fun .. ✨
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The D-Day is here as India starts their World Cup Journey today against the mighty Aussies ✨ As a 90s Kid, this is probably the last WC we will closely follow ... #WorldCup2023 #IndvsAus2023
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Credit should be given where it's due. Kudos to the amazing customer service by @Uber_India Incident: I was taking an Uber Ride and the Driver deliberately took a different plank of Ma Flyover because of which I ended up paying this much extra. #uber
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On reporting the incident, the customer care took immediate steps & analysis and reimbursed the amount. Kudos to their customer centric service.. @Uber_India
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Namma Bengaluru :)
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Avijit Chakraborty ⛄ retweeted
12 Jun 2023
Today 6 years ago, "Attention is All You Need" went on Arxiv! Happy birthday Transformer! 🎂 Fun facts: - Transformer did not invent attention, but pushed it to the extreme. The first attention paper was published 3 years prior (2014) and had an unassuming title: "Neural Machine Translation by Jointly Learning to Align and Translate", from Yoshua Bengio's lab. It is a combination of RNN "context vectors" (i.e. attention). Many of you likely haven't heard about this paper, but it's one of the greatest milestones in NLP and has been cited 29K times (compared to Transformer's 77K). - Neither Transformer nor the original attention paper talked about the general-purpose sequence computer. Instead, both were conceived as solutions to one narrow & specific problem: machine translation. It's remarkable that AGI (some day soon) can trace its origin to the humble Google Translate. 😅 - Transformer was published at NeurIPS 2017, one of the top AI conferences worldwide. Yet it didn't even get an Oral presentation, let alone awards. There were 3 best papers at NeurIPS that year. Combined, they have 529 citations as of today.
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Avijit Chakraborty ⛄ retweeted
26 May 2023
Silicon Valley got too real 😵‍💫
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Is there a way to acquire this superpower of taking clean Notes ❓
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The majestic Howrah Bridge ✨ One of the bucket list frames of the City ❤️ #Kolkata
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" Faking to be strong is far worse than admitting to be weak " ~ @imVkohli
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Avijit Chakraborty ⛄ retweeted
18 Dec 2022
Él siempre estuvo ahí, en los corazones de quienes amamos al fútbol. ❤️⚽️ ¡@Argentina, Campeón del Mundo! 🇦🇷🏆 #CreeEnGrande
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