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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
Production-grade AI agent systems: the frameworks, orchestration patterns, and deployment strategies behind autonomous systems that hold up at scale.
Enhancing LLM Reasoning: Frameworks and Methodologies
Chain-of-Thought, Tree-of-Thoughts, and ReAct compared as ways to give large language models structured reasoning rather than a single guess.
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
Gemini 2.0 Pro against Flash on architecture, benchmarks, and deployment cost, with a clear rule for choosing between them in enterprise work.