MicroEvals
Public evaluations
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Which makes the best website
Compare multiple AI models on accuracy, reasoning, coding, mathematics, and general problem-solving ability using the same prompts.
Cardiac phisiology quiz.
A five-scenario benchmark designed to evaluate an LLM’s ability to perform as a senior Cloud Architect, DevOps Engineer, and SRE. The test covers production Kubernetes architecture, incident response, cloud security, legacy-to-cloud migration, and FinOps. It focuses on technical correctness, practical decision-making, trade-off reasoning, scalability, reliability, and depth of Cloud and Kubernetes expertise.
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Evaluate AI models on their ability to design, implement, debug, and explain an operating system from scratch. The evaluation covers boot processes, kernel architecture, C and assembly programming, memory management, interrupts, scheduling, system calls, device drivers, and debugging low-level code. Models should demonstrate technical correctness, sound engineering judgment, coherent implementation plans, and the ability to produce buildable, testable code. Reward explicit assumptions, incremental development, reproducible testing, security-conscious design, and honest acknowledgment of limitations. Penalize hallucinated APIs, incompatible code, unverified claims, and unnecessarily complex implementations. The goal is to determine which model can act as a reliable systems-programming mentor and engineering partner throughout the development of a small operating system.
API Key for "diqddi88@gmail.com"
Test 1
Persian prompts but translated in output