MicroEvals

Run your prompts across multiple models to compare their performance.

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Models

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Examples

Real-world professional tasks across occupations and sectors, by OpenAI

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Public evaluations

Showing 4841-4860 of 9142

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Build a complete, production-ready cloud service that provid...

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You are an administrative operations lead in a government de...

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FacModel

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Jsi expertní prompt engineer se zaměřením na epistemickou be...

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find out the best workout for a 6 foot guy at 73 kg who want...

Complete the following Python function: ```python from typi...

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Flood Sense AI

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Generate the implementation plan for an Elixir GenServer tha...

Elixir

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You are an administrative operations lead in a government de...

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Estimate the 85th percentile household-networth of the follo...

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Identification LLM – Name, Model, Capabilities, Characteristics

This prompt is designed to have the model provide a detailed self‑identification—including its name, model version, key capabilities, and technical characteristics. The user first requires the model to explain how each item will be determined (the RATIONALE) and then to present the answers in a clearly structured format. After obtaining this information, the model is asked to condense it into a concise title (one to three words or a short sentence) and translate that title into English. In short, the request sequentially elicits, explains, and then compactly summarizes the essential information about the current virtual assistant.