Evaluate model predictions with TruLens
Retrain models for new data at edge devices
Track, rank and evaluate open LLMs and chatbots
Display genomic embedding leaderboard
View and compare language model evaluations
View LLM Performance Leaderboard
Display leaderboard of language model evaluations
Benchmark AI models by comparison
Calculate GPU requirements for running LLMs
View and submit LLM benchmark evaluations
Convert Stable Diffusion checkpoint to Diffusers and open a PR
Push a ML model to Hugging Face Hub
Explore and visualize diverse models
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.