MicroEvals
Run your prompts across multiple models to compare their performance.
Public evaluations
Showing 3821-3840 of 6636
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Thj
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gfdgfd
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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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Kannst du mir bitte mal die Mac Prozessoren gegenüberstellen...
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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
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import fs from 'node:fs';
import path from 'node:path';
impo...
![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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Consider yourself as a physics expert. Imagine that there is...
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P21.2 — EVALUATOR / EC-COMMITMENT / REPLICATED-TRIAL / SHADO...
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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.