Awesome Prompt Engineering — Resource Categories
Research Papers (60+)
| Category | Topics |
|---|---|
| Surveys | Comprehensive reviews of prompt engineering |
| Optimization | Automatic prompt tuning, DSPy, soft prompts |
| Reasoning | Chain-of-thought, tree-of-thoughts, self-consistency |
| Compression | Reducing prompt length while preserving quality |
| Agents | ReAct, tool use, multi-agent orchestration |
| Multimodal | Text-to-image, text-to-audio, vision prompting |
| Security | Prompt injection, jailbreaks, defense techniques |
Tools (50+)
| Category | Examples |
|---|---|
| Prompt Management | Promptfoo, Braintrust, Helicone |
| Evaluation | DeepEval, Ragas, Phoenix |
| Agent Frameworks | LangChain, CrewAI, AutoGen |
| Optimization | DSPy, TextGrad, OPRO |
| Testing | Garak, Promptfoo red-team |
Benchmarks & Datasets
- Standard evaluation benchmarks for LLM capabilities
- Prompt robustness datasets
- Domain-specific test suites
Courses & Tutorials
- University courses on prompt engineering
- Industry training programs
- Hands-on workshops and notebooks
FAQ
Q: What is Awesome Prompt Engineering? A: A research-oriented collection of 60+ papers, 50+ tools, benchmarks, and courses covering prompt engineering from fundamentals to cutting-edge research.
Q: Is it free? A: Yes, Apache 2.0 license. Individual papers and tools have their own licenses.
Q: How is this different from the Prompt Engineering Guide? A: The Guide is tutorial-focused (learn prompt engineering). This collection is research-focused (track cutting-edge papers, tools, and benchmarks).