Prompt Engineering

Designing instructions and examples that guide a generative model’s behaviour.

Prompt engineering involves defining the task, context, constraints, examples and desired output format supplied to a generative model. A clear prompt reduces ambiguity and helps the model produce more consistent results.

Effective prompting may include few-shot examples, role instructions, structured templates and evaluation criteria. It improves model behaviour without changing the model’s underlying parameters.

Also in

Diffusion Models Small Language Models Retrieval-Augmented Generation Context Engineering Few-Shot Learning Supervised Fine-Tuning

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