MicroEvals
Run your prompts across multiple models to compare their performance.
Public evaluations
Showing 3561-3580 of 6770
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Pregunta de investigación profunda: ¿Es posible organizar el...
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Math 1
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Act as a formal epistemologist and computational neuroscient...
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プロのラジオDJとしてこの曲専用の曲紹介の口上を50文字以内で作成してください。
楽曲名：僕たちがやりました
アーティ...
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You work as a home visitor for a nonprofit organization that...
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I would like a prediction for approximately the next month. ...
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Build a complete, production-ready cloud service that provid...
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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...
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MicroEval
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Teste
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Finary 1
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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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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.
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Siyah üzüm çekirdeğinin içerdiği Fito kimyasallar mikro besi...
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HtML
HtML animation
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Map gpt-oss-12