Flow Card
From Novice to Expert: A Comprehensive Guide to Learning Prompt Engineering
Computer Science
About this opportunity
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
Guided action
Is this worth acting on?
Ask Flow for a fast read on fit, details, trust, and next steps. If you want to apply or prepare, move into FlowApply and add evidence before drafting.
Prepare application
Understand details
Check fit
Verify source
Ask for help
The source/contact link is carried into Ask Flow or FlowApply so the session starts with context.