1 रिपॉजिटरी
Awesome GitHub RepositoriesCode-Based Problem Solving Assessments
Frameworks for evaluating the ability of AI models to resolve software bugs by generating functional code patches.
Distinct from Geometric Problem Solving: Candidates are focused on human interview techniques or specific mathematical algorithms, not AI-driven software engineering evaluation.
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Awesome Code-Based Problem Solving Assessments GitHub Repositories
AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
- princeton-nlp/swe-bench
princeton-nlp/SWE-bench
5,263GitHub पर देखेंSWE-bench is a software engineering benchmark and evaluation framework designed to measure the ability of large language models to resolve real-world GitHub issues. It provides datasets and evaluation suites to verify whether model-generated code patches correctly fix software bugs. The project includes a multimodal benchmark for testing visual language models on issues involving graphical interfaces. It utilizes a collection of pre-processed repository issues and gold-standard patches to train and test AI coding agents. The framework provides infrastructure for containerized patch verificat
A process to assess how language models resolve software issues by generating code patches based on a provided codebase.
Python
