prompting
5 articlesTechniques to communicate with models effectively.
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Common Prompting Mistakes
The antipatterns that ruin a prompt: no context, everything in one step, no versioning, validating by fluency, and ignoring the context window.
The Anatomy of a Prompt
An effective prompt is built from blocks: context, intent, format, constraints, and examples. We dissect each one and how to assemble them.
Few-Shot Prompting: How to Guide AI with Structured Examples
Few-shot prompting gives the model examples inside the prompt to establish the expected format, tone, and response pattern — no fine-tuning needed.
What is Chain-of-Thought Prompting?
Chain-of-Thought prompting guides the LLM to reason step by step before answering, improving accuracy on tasks requiring logic, math, or multiple steps.
What is Prompt Engineering?
Prompt engineering is the discipline of crafting effective instructions for language models. Mastering it multiplies the quality of any AI output.