polymathx @polymathXY
Here to learn, then give back (mainly notes to future self). Paris Joined February 2025-
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this video right here sparked my interest in backend engineering
What in the neural networks is going on????
You asked, I deliver (2 weeks late). A blogpost about what I did over the last 18 months to sign as a research engineer at a foundation model lab. Link and summary below 1/n
You asked, I deliver (2 weeks late). A blogpost about what I did over the last 18 months to sign as a research engineer at a foundation model lab. Link and summary below 1/n https://t.co/RbW6qYrwbX
got 10pr merged @/verifiers
engineers don’t just build things; they solve problems the rest of us can’t even see. > this book takes you inside that mindset, showing how engineering thinking shapes the world around us. > perfect for innovators, problem-solvers, and anyone who wants to see through an…
:TODO: explore how hard is learning to write kernels from scratch with no serious experience in low languages, when
:TODO: explore how hard is learning to write kernels from scratch with no serious experience in low languages, when
High quality content from this content, definitely worth checking
High quality content from this content, definitely worth checking
Just a reminder for everyone trying to call the top: “Larry Page has said internally at Google many times, "I’m willing to go bankrupt rather than lose this race." Everybody is focused on ROl, but the people making the decisions are not” -@GavinSBaker on ILTB
You're in a ML Engineer interview at Google, and the interviewer asks: "GPUs vs TPUs which one to choose?" Here's how you answer:
Definitely worth taking a look someday
Definitely worth taking a look someday
- you are - a random CS grad with 0 clue how LLMs work - get tired of people gatekeeping with big words and tiny GPUs - decide to go full monk mode - 2 years later i can explain attention mechanisms at parties and ruin them - here’s the forbidden knowledge map - top to bottom,…
- you: - want to actually learn how LLMs work - sick of “just start with linear algebra and come back in 5 years” - decide to build my own roadmap - no fluff. no detours. no 200-hour generic ML playlists - just the stuff that actually gets you from “what’s a token?” to “I trained…
Day 1/100 of Backend Engineering: >DNS records (A, CNAME, AAAA etc) >OSI >TCP/UDP >Firewalls + types >Reverse proxy >HTTP headers (request + representation+ general + security) >HTTP - statelessness + client-server model >HTTPS = HTTP + TLS/SSL >HTTP evolution >HTTP messages…
the skills that actually get you hired (not 500 leetcodes): • auth flows (oauth, jwt, sessions) • db schema design & migrations • caching (redis, cdn) • background jobs & queues • file uploads & storage • realtime (websockets, pub/sub) • forms & validation • state…
> be you > random CS grad with 0 clue how LLMs work > get tired of people gatekeeping with big words and tiny GPUs > decide to go full monk mode > 2 years later i can explain attention mechanisms at parties and ruin them > here’s the forbidden knowledge map > top to bottom, how…
A quite good roadmap
Strong take, should make future self more abrupt on content creation. Take the leap, and plan later.
Strong take, should make future self more abrupt on content creation. Take the leap, and plan later.
:TODO: watch it
A team at DeepMind wrote this piece on how you must think about GPUs. Essential for AI engineers and researchers:
To read, reaad and reeead
HESPERIA @hesperiaeurope
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K Srinivas Rao @sriniously
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