Evaluate code generation with diverse feedback types
Display and submit language model evaluations
View and submit LLM benchmark evaluations
Generate leaderboard comparing DNA models
Convert PyTorch models to waifu2x-ios format
Display and filter leaderboard models
Create demo spaces for models on Hugging Face
Retrain models for new data at edge devices
Predict customer churn based on input details
Calculate survival probability based on passenger details
Measure over-refusal in LLMs using OR-Bench
Analyze model errors with interactive pages
Load AI models and prepare your space
ConvCodeWorld is a model benchmarking tool designed to evaluate and compare code generation models. It focuses on assessing models through diverse feedback types, making it a comprehensive platform for understanding and improving code generation capabilities.
• Multiple Feedback Types: Supports various feedback mechanisms, including user ratings, pairwise comparisons, and error detection tasks.
• Customizable Benchmarks: Allows users to define custom benchmarks tailored to specific use cases or programming languages.
• Detailed Metrics: Provides in-depth performance metrics, including correctness, efficiency, and user satisfaction scores.
• Model Agnostic: Compatible with a wide range of code generation models, ensuring versatility in evaluation.
• Version Tracking: Enables longitudinal analysis of model improvements over time.
• Collaborative Interface: Offers a shared workspace for teams to review and discuss model performance.
What makes ConvCodeWorld unique?
ConvCodeWorld stands out due to its diverse feedback mechanisms, which provide a holistic view of model performance beyond traditional metrics.
Which programming languages does ConvCodeWorld support?
ConvCodeWorld supports a wide range of programming languages, including Python, Java, C++, and JavaScript, with more languages being added regularly.
How long does it take to run a benchmark?
The time required to run a benchmark depends on the size of the test set and the complexity of the tasks. Small benchmarks can complete in minutes, while larger ones may take several hours.