Select this project when the task is to learn and apply prompt engineering techniques for large language models through a consolidated educational resource. It is a tutorial-oriented resource rather than a documented runtime or deployment solution.
Project overview
Select this project when the task is to learn and apply prompt engineering techniques for large language models through a consolidated educational resource. It is a tutorial-oriented resource rather than a documented runtime or deployment solution.
Use cases
Learning & Education
Deployment
Refer to project documentation
License
MIT
Best for
Researchers, developers, and general users whose immediate task is learning or applying prompt-engineering techniques for large language models.
Users looking for guides, papers, lectures, notebooks, references, tools, and organized prompts in a prompt-engineering-focused resource.
Key capabilities
Provides a collection of guides for learning prompt engineering.
Provides a collection of prompts organized for users.
Provides a one-hour video lecture covering prompting techniques, applications, and tools.
Limitations and risks
GPU, minimum hardware, model requirements, external services, cost dependency, data boundary, coding requirement, and telemetry are not documented.
The available information does not document setup difficulty or a first-success path.
Getting started
The documented setup difficulty and first-success path are unclear, so confirm the current access and setup instructions before relying on a particular onboarding flow.
Evidence and sources
README: Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research to…