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Engineering notes on systems, infrastructure, agents, and tools that ship.
Math Foundations of Transformers and MoE Layers
A thorough explanation of the equations powering classic transformer structures and Mixture-of-Experts for advanced deep learning workflows.
Self-Hosting OpenWebUI: A Step-by-Step Walkthrough
A technical guide for deploying a production-ready OpenWebUI instance on your own domain with Docker, Nginx, and Let's Encrypt for secure AI interactions.
Production-Ready AI Agents: Architectures, Frameworks, and Beyond
A comprehensive technical analysis of production-grade AI agent systems, exploring key frameworks, orchestration patterns, and deployment strategies for building reliable autonomous systems at scale.
Enhancing LLM Reasoning: Frameworks and Methodologies
An exploration of key frameworks and techniques like Chain-of-Thought, Tree-of-Thoughts, and ReAct that enable Large Language Models to perform structured reasoning and problem-solving.
Understanding Tokenizers and Embedders in LLM Pipelines
A deep dive into the role, structure, and training of tokenizers and embedders in modern language models like GPT, BERT, and T5.
Gemini 2.0 Pro vs. Flash: A Deep Technical Comparison for Enterprise AI
A consolidated technical analysis of Google's Gemini 2.0 Pro and Flash models, detailing architectural nuances, performance benchmarks, deployment considerations, and strategic selection guidelines for enterprise AI applications.