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arushh

@Kcodess

constructing the bridge between models and people using it

 workstation
saadho.arushk.tech
Joined November 2021
  • Tweets8.7K
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arushh@KcodessJun 7
finally, here’s my Portfolio v2 kept it super minimal: no fancy animations, no unnecessary fluff!! also tried screen recording for the first time ever!! portfolio: portfolio-personal-iwu8.verc… ( yeah, will be buying a domain very soon ) would love to know what you think 👇
arushh (@Kcodess) profile picturearushh@KcodessJun 7
portfolio v2 dropping sssoooooon!!
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omg i just love inference engineering 😍
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diwaali walli dillt, iykuk
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arushh (@Kcodess) profile picturearushh@Kcodess3h
dilli waali diwali
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dilli waali diwali
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never a dull day at the gym with this ARGENTINA JERSEY
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come and crack your next interview saadho.arushk.tech
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getting broke day by day😔
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i fear nothing, but missing my papa's phone call
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suddenly why everyone is seeing mac apps all over my TL
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sexualize normalising claude as a co author in your Pr'@
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you need your next feature working, but dont want to hire some intern and need some experienced contract dev try him: arushk.tech
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Gradient descent can write code better than you. I'm sorry.
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iit hyderabad ke E-CELL waale bhi callkarte hai
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ai in 2016-17 >writing a neural net from scratch was a flex. >backprop, training loops, embeddings: that was the real engineering >then the transformer paper dropped, and people sat down and read it, then the code >the core was the point ai in 2026:
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>new vocabulary: agents, multi-agent, rag pipelines, tool calling, agentic everything >most people are collecting the luxirious words fewer are studying what the system is actually doing
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everyone say “A SINGLE PIECE OF PAPER CAN'T DECIDE YOUR FUTURE” but but but. in 2017, A SINGLE PIECE OF PAPER DID PLAN THE WHOLE FUTURE OF AI INDUSTRY IT SHAPED IT!! it is the heart&soul of your chatbot, your ai images, your ai videos, your voice assistant and your search bar
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the only real split is how they generate: >text models guess the next token, one at a time >image and video models start from pure noise and clean it up step by step same powering engine underneath, two different driving styles
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this is why INFERENCE ENGINEERING matters learn how one transformer runs fast on a gpu and you’ve learned the core of most ai products!! the paper was called “ATTENTIONS IS ALL YOU NEED”
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w0w
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insaan apne sukh mein utna sukhi nahi hai, jitna doosro ke dukh mein sukhi hai
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