Blogs

Deep dives into inference, training, and building AI systems from scratch.

2026
February
Context in LLMs: What Determines It, What It Costs, and What Actually Works 25 min
Serving LLMs with vLLM on RunPod: A Complete Guide 12 min
GPU Fundamentals & LLM Inference Mental Models 20 min
2025
October
ML Training Optimization: FLOPs, Profiling, and Learning Strategies 12 min
April
Building GPT from First Principles: Code and Intuition Towards AI ↗
From Quantization to Inference: Beginners Guide for Practical Finetuning Towards AI ↗
March
A Guide to Fine-tuning Methods in LLMs (Part 1) 20 min
Understanding Quantization in Deep Learning 15 min