manan

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manan

@someonemanan

i run on emotions | rave survivor & travel hacker @atlys | delhi-ncr chaos from Mumbaikars perspective | weekend war stories & visa escapes

Katılım Kasım 2014
373 Takip Edilen206 Takipçiler
manan
manan@someonemanan·
@zomato using peoples money for head stickers lol
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manan
manan@someonemanan·
@zomato can i get your user recordings of my account to show you guys how you guys scammed me
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manan@someonemanan·
@zomato doesn’t value long lasting customers
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manan@someonemanan·
@zomatocare What a concern to show and not show up
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manan
manan@someonemanan·
@zomato to save costs you have also gotten some dumb ai
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manan
manan@someonemanan·
0 customer satisfaction @zomato
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Mumbai Rains
Mumbai Rains@rushikesh_agre_·
Visibility from Bandra-Worli Sea Link today 😍
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manan@someonemanan·
My co workers came to me, asked my flight timings - their reply : bro you earn that much that you can skip taking red eye flights ouch
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MemeCreaker
MemeCreaker@MemeCreaker·
Deployment se pehle aarti lelo….
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manan
manan@someonemanan·
kuch fayda nai hua jaldi karke, i am going back home and i forgot my keys, including my bike keys
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manan@someonemanan·
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Shimorekato
Shimorekato@iam_shimorekato·
What we want What we got from Italy from Italy
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Giorgia Meloni
Giorgia Meloni@GiorgiaMeloni·
Thank you for the gift
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Mohak Nahta
Mohak Nahta@mohaknahta·
We fine-tuned a 2B vision-language model to parse bank statements at production scale. The full write-up from Shubham Tiwari is on our engineering blog. Fine-tuning is no longer the hard part. You have the GPU, the dataset, the model. The training script is a few hundred lines. The hard part is everything that happens after. The post covers how we worked through GPU bottlenecks when bank statements pushed output tokens past our context window and resource constraints, tuned the VLM-specific parameters that defaults get wrong, fine-tuned training prompts to fix specific field regressions, and a few other things that mattered more than hyperparameters. Why does this matter? Frontier APIs handle document AI well, until you're processing tens of thousands of pages a day. At that point you're paying thousands a month, inheriting rate limits, and can't fix specific failure modes. A purpose-built 2B model on a single GPU changes the economics. Really proud of the work Shubham and the team put into this. engineering.atlys.com/fine-tuning-a-…
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Mohak Nahta
Mohak Nahta@mohaknahta·
building the fastest shipping company on earth - in public. every ship, live: atlys.com/speed
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manan@someonemanan·
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t@polit3cat·
this is how I’ve chosen to cope
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