Module 11

CL in the Era of Modern LLMs

Research-backed techniques for using Cognitive Linguistics to dramatically improve LLM reasoning accuracy, coherence, and creative depth.

Progress0 / 4 Lessons
Structure

4 Lessons

Investment

3.0h

Level

Advanced

Start Here

11.1 — CMT as LLM Prompting Paradigm

Applying Conceptual Metaphor Theory as a complete systematic paradigm for prompting modern LLMs.

Learning Objectives
1

Formulate a comprehensive CMT-based prompting methodology with measurable evaluation criteria

2

Apply source-domain activation techniques to improve complex multi-step reasoning chains

3

Design reusable prompt templates based on metaphor coherence and structural mapping principles

Start Lesson 11.1 Full Interactive Course

All Lessons

11.1

CMT as LLM Prompting Paradigm

Applying Conceptual Metaphor Theory as a complete systematic paradigm for prompting modern LLMs.

45 min
11.2

Frame Semantics in Modern LLMs

Systematically applying frame semantics to improve LLM output quality, consistency, and domain expertise.

45 min
11.3

CxG & Syntactic-Semantic Integration

Using construction grammar insights to systematically improve LLM syntax-semantics alignment.

45 min
11.4

Cognitive Engineering & Ethical AI

Building the discipline of cognitive engineering — systematically applying CL to ethical, responsible AI design.

45 min