microsoft/promptbase resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

5771 stars · 332 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Microsoft-maintained collection of prompt engineering resources, best practices, and example Python scripts for eliciting top performance from foundation models like GPT-4. It hosts the Medprompt methodology (dynamic few-shot selection, self-generated chain of thought, and choice-shuffle ensembling) with benchmark results across MMLU, GSM8K, and other evaluations.

Use cases

• improve gpt-4 accuracy with prompting techniques
• learn medprompt methodology
• benchmark llm prompting strategies
• apply chain-of-thought and few-shot prompting
• replicate medprompt+ benchmark results
• study prompt engineering best practices

When to choose

• you want proven prompting techniques like Medprompt with benchmark-backed results
• you need example scripts for few-shot selection and chain-of-thought ensembling
• you are researching how prompting compares to fine-tuning

When to avoid

• you need a production prompt management or deployment tool
• you want a maintained library with an API rather than example scripts
• you work with small local models where these techniques may not transfer

Facets

learning-resource · maturity active

prompt-engineering llm-inference benchmarking large-language-models artificial-intelligence tutorials python medprompt few-shot-learning chain-of-thought gpt-4 research

Member repositories

For agents

markdown · JSON · MCP: product_card(name="microsoft/promptbase")