LLM and Transformer Foundations for Practical AI Users
Lesson 1: NLP, LLMs, and the Work Language AI Actually Does
Lesson Objectives
By the end of this lesson, students should be able to:
- Define NLP and LLM in plain language.
- Name common language AI tasks.
- Explain why a chatbot is only one interface for a broader technology.
Lesson Content
Natural language processing is the broad field of using computers to work with human language. It includes summarizing, translating, classifying, extracting names, answering questions from a document, rewriting text, and generating new text.
A large language model is one powerful kind of system used for many of those tasks. It learns patterns from large text collections and can generate responses that fit the prompt and conversation. That does not mean it understands the world like a person. It means it has learned enough language patterns to do useful work when the task is framed well.
Students should not think of language AI only as chat. Chat is one interface. Under the surface, many AI tools are doing task work: classify this, summarize that, extract these fields, answer from this context, rewrite this paragraph, or generate three options.
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