Learn LLMs
Building Blocks of GPT-2 LLM
Introduction - Building Blocks of GPT-2 LLM
Introduction to Large Language Models (LLMs)
GPT - Generative Pretrained Transformer model
Introduction to tokenization
Introduction to embedding
Transformer blocks
Self-attention mechanism
Masked Attention
Multi-head self-attention
Feedforward neural network (FNN)
Language Modeling Head (LM Head)
Pre-trained GPT-2 model end to end
Dataflow across LLM
Reference
Architecting Autonomous Systems
Introduction - Architecting Autonomous Systems
Anatomy and Taxonomy of Agents
AI Agent Interoperability and MCP
Context Engineering for Stateful AI Agents
Case-study part 1: Explore Anatomy and Taxonomy of Agents
Case-study part 2: Explore basics of context engineering
Engineering Trust
Reference
Learn LLMs
Index
Edit on GitHub
Index