LLM Fundamentals12 min
From Model Output to Controlled Action
Turn a proposed tool call into a bounded operation with explicit permissions, approval, and recovery.
Huang Tzu Lin
CategoryBlog
LLM Fundamentals
How large language models work, from tokens and context windows to prompting, hallucinations, and the case for building systems around models.
4 posts
LLM Fundamentals10 min
Why Fluent Answers Can Be Wrong
Separate missing evidence, stale knowledge, retrieval errors, and unsupported claims so you can choose the right control.
Huang Tzu Lin
LLM Fundamentals12 min
Prompts, Tokens, and Context
Build a clear request, budget its context, and handle missing information before asking for an answer.
Huang Tzu Lin
LLM Fundamentals10 min
How Language Models Generate Text
Follow a prompt from tokens to predictions, and learn what a fluent answer can—and cannot—establish.
Huang Tzu Lin