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
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