MicroEvals
Run your prompts across multiple models to compare their performance.
Public evaluations
Showing 2621-2640 of 4541
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ауафц
ау
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Game
Test
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A photo featuring a scene with a focus on a woman's traditio...
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需要你做一个日频或周频或更低频的A股T+1 OR T+0 ETF交易方案去参加AI模拟大赛；
大赛目标：目标年化30%，...
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Ok suppose 3.8 gpa at math cs Econ hard courses from ucsd so...
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Thj
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Buatkan aplikasi to-do list menggunakan tkinter python seder...
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https://artificialanalysis.ai/microevals/p5js-physics-174972...
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Cost per million tokens
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Pracuj s níže uvedeným Prompt 0. Zhodnoť, jak lze ještě dále...
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Flujos
![This is input from if node:
"subject": "[ZUNANJI] Vaš paket ...](/_next/image?url=https%3A%2F%2Fartificialanalysiscdn.com%2Fmicro-evals%2F476517bfae524609a3e6e22e9f81e58d.jpg&w=3840&q=75)
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This is input from if node:
"subject": "[ZUNANJI] Vaš paket ...
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Schreibe eine Metapher für Quantenphysik aus der Sicht eines...
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A comet’s tail points in the following direction:
A) away f...
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Jsi expertní vědecký, medicínský a Evidence-Based Medicine a...
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aoue
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Complete the following Python function:
```python
from typi...
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Kansızlığa karşı Demir eksikliğine karşı elma ve siyah üzüm ...
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Full Pipeline eval
I dunno just trying some stuff.
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StoreAgent Customer-Facing WhatsApp LLM Eval v1
Production-oriented evaluation for StoreAgent's customer-facing WhatsApp LLM. Tests intent/routing accuracy, entity extraction, grounded commerce reasoning, multi-turn context, Arabic/English/code-switching quality, conversational naturalness, clarification behavior, hallucination resistance, and safe proposed actions. Prices, stock, payment state, order state and irreversible actions remain deterministic backend truth and must never be invented or independently changed by the model.