Prompt engineering is a technique that guides language models toward specific outcomes without altering their weights.

It aims to achieve alignment and steerability of the model. A benchmark infrastructure can simplify the process for some papers.

Encouraging the research community to adopt prompt engineering could be beneficial.

1) OpenAI Cookbook has many in-depth examples of how to utilize LLM efficiently.

2) LangChain, a library for combining language models with other components to build applications.

3) Prompt Engineering Guide repo contains a pretty comprehensive collection of educational materials on prompt engineering.

4) learnprompting.org

5) PromptPerfect

6) Semantic Kernel

Categories : Computer Science

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