Part I — Orientation
Why the subject matters, and what a language model actually does.
- 01Why Agentic AI, Why Now
Motivates why Financial Mathematics -- a discipline built on verifiable calculation -- needs to understand what AI agents actually do before trusting them.
Read → - 02What an LLM Actually Does
The mechanical foundation needed before encountering agents: tokens, embeddings, neural networks, transformers and attention, context, prompting, structured outputs, and tool calling.
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