Comprehensive System Design of Large Language Models (LLMs)
LLMs 101 Deep Dive Table of Contents Introduction to Large Language Models (LLMs) Architecture of LLMs Tokenization and Embeddings Attention Mechanism Training LLMs Inference and Deco...
LLMs 101 Deep Dive Table of Contents Introduction to Large Language Models (LLMs) Architecture of LLMs Tokenization and Embeddings Attention Mechanism Training LLMs Inference and Deco...
The SOLID principles are foundational design guidelines every software engineer should know. They improve code readability, testability, and maintainability. In this post, we’ll cover: Definiti...
A practitioner's guide to evaluating LLMs in production using metrics that actually reflect user impact.
The final part of the Research Principles series, outlining the habits and behaviours that distinguish engineers who produce original, high-impact work from those who only consume information.
A practical guide to converting research ideas into working systems, experiments, and verifiable outcomes.
A practical guide to reading technical and academic papers effectively, focusing on extracting usable ideas without drowning in notation or formalism.
A clear, practical guide on separating credible sources from misleading ones when engaging in technical research.
A practical introduction to research thinking for engineers, builders, and practitioners who want to understand topics deeply instead of collecting surface-level information.
A practical, no-nonsense guide on how to read documentation the right way and use it to build real systems.