LLMs In 100 Images

Large language models can feel like a tangle of architectures, training methods, and fast-moving terminology. LLMs In 100 Images offers a more visual route through that landscape: 100 concepts presented with illustrations and concise explanations to help readers build a clearer picture of how these systems fit together.

See the building blocks of LLMs

The book introduces core ideas behind language models, including transformers, GPT, BERT, LLaMA, and multimodal systems. Visual explanations help make the relationships between concepts easier to follow, giving readers a useful starting point for understanding both familiar AI tools and the technology behind them.

From model foundations to modern techniques

The scope reaches beyond model architecture into topics such as training, inference, prompting, safety and alignment, and AI agents. It also addresses large reasoning models and other developments in the field. Taken together, the subjects offer a broad conceptual overview rather than a deep dive into a single model or technique.

A visual companion for curious readers

Short explanations paired with diagrams make this an approachable way to encounter technical ideas in manageable pieces. Developers, students, technology professionals, and readers exploring generative AI may find it useful for building context, reviewing terminology, or identifying topics they want to investigate further.

For anyone looking to make sense of the ideas shaping large language models, this illustrated guide brings a wide-ranging subject into clearer view.