Evaluate model predictions with TruLens
Display benchmark results
Run benchmarks on prediction models
Launch web-based model application
Browse and evaluate language models
Measure execution times of BERT models using WebGPU and WASM
Predict customer churn based on input details
View and submit language model evaluations
Browse and submit LLM evaluations
Convert and upload model files for Stable Diffusion
Export Hugging Face models to ONNX
Evaluate code generation with diverse feedback types
Display and submit LLM benchmarks
Trulens is a powerful tool designed for model benchmarking and evaluation. It allows users to assess and compare the performance of AI models, providing deep insights into their predictions and behaviors. Whether you're a developer, researcher, or data scientist, Trulens helps you understand and improve your models with precision.
• Model Benchmarking: Compare multiple models across different datasets and metrics.
• Performance Evaluation: Gain detailed insights into model accuracy, reliability, and robustness.
• Transparency: Uncover how models make predictions and identify potential biases.
• Customization: Define specific metrics and parameters to suit your needs.
• Integration: Works seamlessly with popular machine learning frameworks.
What types of models does Trulens support?
Trulens supports a wide range of AI models, including classification, regression, and deep learning models.
Do I need prior machine learning expertise to use Trulens?
No, Trulens is designed to be user-friendly. While some understanding of machine learning concepts is helpful, the tool simplifies the benchmarking process.
Can Trulens work with frameworks like TensorFlow or PyTorch?
Yes, Trulens is compatible with popular frameworks such as TensorFlow, PyTorch, and Scikit-learn, making it versatile for different workflows.