Modal Labs Deep Dive - Ehsan's Blog
Learn Your Way: Reimagining textbooks with generative AI
arn Your Way: Reimagining textbooks with generative AI
v0 - Brillance SaaS Landing Page - v0 by Vercel
Gradient Descent into Madness - Building an LLM from scratch
How to Think About GPUs | How To Scale Your Model
2025 01 18 pdf 1 tech ai goolge whitepaper prompt%20 engineering v4 af36dcc7a49bb7269a58b1c9b89a8ae1
GPU Networking Basics, Part 1
Inside vLLM: Anatomy of a High-Throughput LLM Inference System - Aleksa Gordić
Coding with LLMs in the summer of 2025 (an update) - antirez
From time to time, it is wise to test what agents can do. But each time you feel they can’t do as well as you can, return to your terminal, and code with the help of AI (when you feel it can improve your output; there are times where you just are better alone). When this will be true, that agents will perform superb work, I’ll be the first to switch, and I’ll keep coding by myself just for passion. But for now, let’s skip the hype, and use AI at its best, that is: retaining control. There is another risk, however: of avoiding LLMs for some ideological or psychological refusal, accumulating a disadvantages (and failing to develop a large set of skills - hard to describe - needed to work with LLMs). Maybe this is really a case of "In medio stat virtus".
Chain Of Throught (CoT) Paper
How Modal built a data cloud from the ground up | Amplify Partners