The original title is "A Complete Guide to LLMs and AI Agents: From Tokens to Agents"

Short summary

A comprehensive guide tracing how text flows through an LLM — from tokenization and embeddings through attention mechanisms, training, fine-tuning, RAG, and AI agents. Covers the full stack including vector databases, multi-agent systems, evaluation, production engineering, and safety. Aimed at engineers and learners who want deep understanding beyond surface-level usage.

• •Covers full LLM pipeline: tokenization → embeddings → attention → decoding
• •Includes training, fine-tuning, RAG, agents, evaluation, and production topics
• •Structured as a step-by-step walkthrough using 'Go to the moon' as example

Generated with AI, which can make mistakes.