AI guide
How Large Language Models Work
A clear, plain-English guide to how large language models actually work — from tokens and embeddings to Transformers, attention, the context window, training, fine-tuning, inference, and their real limits.
10 lessons·≈ 2 hr read·Free, no account
- 01What Is an LLM? Large Language Models Explained SimplyBeginner·11 min
- 02Tokens in LLMs: How AI Reads, Counts, and Bills TextBeginner·11 min
- 03Embeddings Explained: How LLMs Turn Words Into MeaningBeginner·11 min
- 04Transformers Explained: The Architecture Behind Every LLMIntermediate·12 min
- 05The Context Window: How Much an LLM Can Actually SeeBeginner·11 min
- 06Attention Explained: How an LLM Decides What MattersIntermediate·12 min
- 07How LLMs Are Trained: Pretraining and RLHF ExplainedIntermediate·12 min
- 08Fine-Tuning LLMs: Adapting a Model to Your TaskIntermediate·11 min
- 09LLM Inference Explained: How a Model Generates TextIntermediate·11 min
- 10LLM Limitations: What Large Language Models Can't DoBeginner·11 min