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System Design Round at Anthropic: Your RAG chatbot retrieves 20 documents per query and stuffs all of them into the prompt. Accuracy is fine.
But your token bill is 5x what you projected and latency is 4 seconds.
Half those 20 documents are barely relevant to the question.
How do you cut the context you send without dropping the answers that actually needed all 20?
Companies i have been interviewed at during my switch journey are:
Blinkit
Goldman Sachs
Google
Outcomes
PayU
Razorpay
SaveBiking
Zupee
Brick n bolt
Phonepe
Mobilkwik
Kotak 911
And all i get it scheduled by COLD EMAILING their HRs. So don't underestimate its power.
If you are currently interviewing, just read interview experiences and prepare accordingly. Horses for courses.
Don't listen to me or anyone else out there - just do what's needed right now. Get that job, pay your bills, support your family, build a good life. The internet is full of people dismissing things they don't like or can't achieve.
@PiyushGoyal@Arattai A lot is getting built in India in core tech domain too.
Example - https://t.co/i3ZXJI22qR - AI powered Kubernetes IDE.
https://t.co/Yws3te5V2a - making Kubernetes easy to use
We hope you will notice that too - everything is powered by Kubernetes layer in the end .