Beat GPT-4o at Python by searching with 100 dumb LLaMAs

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This post details the use of Modal Sandboxes to evaluate LLM-generated Python code against the HumanEval dataset. It highlights how Sandboxes provide the necessary secure isolation for executing arbitrary code and running tests, enabling the assessment of LLM performance in code generation tasks. The experiment demonstrates scaling evaluation to thousands of tests in parallel, showcasing the robustness of the Sandboxed Code Execution feature for complex benchmarking scenarios.