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AWS in plain English: • EC2 → computer • S3 → storage • RDS → database • IAM → security guard • Lambda → automation That’s 80% of what you’ll use daily... make it similar to these
This guy literally shows how to go from zero to AI engineer for free
Harvard professor literally dropped the best ML systems tutorial you’ll ever see
As an experienced researcher and publishing author. Here is simple hack for you to identify research gap. 1. Identify 10-20 articles from top journals in your research domain. Ensure the articles were published in the last three years. 2. Read the last 2-3 paragraphs of those…
Academic writing can be frustrating at times. I have been trying to investigate gaps in a particular literature and I just can’t get through it. Somedays, I just want to close this laptop and never open it again. 🥲
You're not depressed, you just need a quest.
Read this paper to know how to 'actually' read a paper! I've highlighted the key points -> now this 10 min read of 3-pass apprach will change your paper reading technique for good! 𝗞𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀: — First Pass (5-10 minutes) Quick scan for bird's-eye view — Second…
You're in an ML Engineer interview at Apple. The interviewer asks: "Two models are 88% accurate. - Model A is 89% confident. - Model B is 99% confident. Which one would you pick?" You: "Any would work since both have same accuracy." Interview over. Here's what you missed:…
Dynamic programming was invented to confuse the Secretary of Defense. Seriously. Wilson (the SecDef) “would get violent if people used the term research in his presence”. RAND mathematicians thus needed a cover story to hide their work:
Cancel your wedding if you have to but watch this video on how to use LLMs. It covers a wide array of usecase from - basics of prompting - using deep research - NotebookLM youtu.be/EWvNQjAaOHw?si…
Google literally explains the right way to think about GPUs. Save for later Try Now: tinyurl.com/bddm94ce
Why aren’t general AI models like ChatGPT good enough? Ever felt like working with them is… a bit tiring? You have to explain your background and goals every single time - like talking to a genius with a 7-second memory. Here’s how to fix that:
Agentic AI is an emerging career that you can start to make up to $130,000 per year. You can learn Agentic AI. I have a detailed ROADMAP that cover everything from steps, resources and courses you need to take to get started. It's 100% FREE for 24 hours To get this,…
In 1983, a Pixar engineer pulled off one of the craziest C hacks ever. He merged a switch and a do-while loop just to make code faster. It looked illegal. It wasn’t. It’s called Duff’s Device.
Computer architecture is 50% memory and 50% compute. If you want to be a hardware engineer or a better software engineer read this
MIT researchers just broke down why 95% of enterprise AI projects fail. Must-read.
karpathy says we’re a decade away from AGI, because we don’t yet know how to make systems learn continuously. the deeper problem is that we’ve built this entire field on metaphors, not mechanics. we keep saying AI can think, reason, remember, create. but those are human verbs,…
The @karpathy interview 0:00:00 – AGI is still a decade away 0:30:33 – LLM cognitive deficits 0:40:53 – RL is terrible 0:50:26 – How do humans learn? 1:07:13 – AGI will blend into 2% GDP growth 1:18:24 – ASI 1:33:38 – Evolution of intelligence & culture 1:43:43 - Why self…
Just Recorded a Tutorial on How to Build Your First AI Agent in n8n (step-by-step) Explained so simply even a 10-year-old could understand it (Learn how to set up AI agents, connect tools like WhatsApp & Gmail, and see how agents reason, and act) Like + Comment "LEARN" to get…
This guy literally dropped the best practical AI roadmap you’ll ever see
Correlation is the skill that has singlehandedly benefitted me the most in my career. In 3 minutes I'll demolish your confusion (and share strengths and weaknesses you might be missing). Let's go:
Holy shit... Google just cracked the code on AI collaboration. It's called TUMIX, and it might be the smartest thing they've published all year. Here's the twist: instead of building one massive brain, they built a team of smaller ones that argue, debate, and improve each…
Google ML Engineer Interview - Final Round Question: "Your inference costs are 10x higher than expected due to KV cache. How do you diagnose and fix this?" You: "I'll just increase my GPU memory to store more cache" Awkward silence Interview over. Here's why you failed:…
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