AI Model ArchitecturesGuide
A technical guide comparing GPT, MoE, LRM, SLM, and LAM architectures, and how to choose the right model for the right task.
www.peterindia.net/LanguageModels.html
Graph Neural NetworksGuide
How GNNs learn from nodes and edges via message passing, the four core architectures, real applications, and 2026 trends.
www.peterindia.net/GNNs.html
Trends and Transitions in RAGGuide
How Retrieval-Augmented Generation evolved from a simple pipeline into agentic, multimodal, real-time retrieval architectures in 2026.
www.peterindia.net/RAGTypes.html
Enterprise AI System DesignGuide
Twelve distributed-systems concepts — caching, circuit breakers, rate limiting, and more — that keep RAG and agentic AI reliable in production.
www.peterindia.net/EnterpriseAISystemDesignConcepts.html
Steps to Build Powerful LLMsGuide
The 6-step pipeline for building large language models — data collection, tokenization, pretraining, RLHF alignment, deployment, and evaluation.
www.peterindia.net/LLMBuildingSteps.html