Prompting Principles and Techniques

Module 5, Lecture 5.1 | Section 3: Prompt and Context Engineering

Modules 2–4 built a mental model of how LLMs work: next-token predictors, trained on internet text, shaped by RLHF. This lecture puts that model to work. Prompting is not a collection of magic phrases — it is an applied discipline grounded in how models process context. The principles covered here — clarity, positive framing, structure, chain-of-thought, and treating prompts as versioned code — apply directly to agent development, where prompt failures are not annoyances but bugs.

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Additional Resources

Prompting (General)

Chain-of-Thought

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