This repository collects prompts, system prompts, and instructions for large language models.
Open source
24 alternativesPromptEngineering
vsHannibal046/Awesome-LLM: Awesome-LLM
PromptEngineering vs Hannibal046/Awesome-LLM: Awesome-LLM
How do PromptEngineering and Hannibal046/Awesome-LLM: Awesome-LLM compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | PromptEngineering | Hannibal046/Awesome-LLM: Awesome-LLM |
|---|---|---|
| What it is | This repository teaches 22 prompt engineering techniques through Jupyter Notebook tutorials. | A curated list of large language model resources maintained in the Awesome-LLM repository. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both PromptEngineering and Hannibal046/Awesome-LLM: Awesome-LLM.
LocalModelsLinks collects guides and references for running and tuning language models locally.
This repository curates resources for applied AI engineering, including tools and other materials for practitioners.
Screenpipe records screen activity locally and provides context to AI agents.
This repository curates frameworks, libraries, and software for large language models.
This repository curates platforms, tools, practices, and resources for running language models locally.
Open source
24 alternatives