Deepchecks

Comprehensive AI Validation

Toolspedia Rating:

(4.3)

Freemium

Deepchecks is an open-source platform dedicated to the continuous validation of AI and machine learning models. It provides comprehensive tools for testing data integrity, evaluating model performance, and monitoring deployed models in production environments. By facilitating thorough assessments from research phases through to deployment, Deepchecks ensures that AI systems operate reliably and effectively.

The platform supports various data types, including tabular, natural language processing (NLP), and computer vision data. Its integration capabilities with popular machine learning frameworks make it a versatile choice for AI practitioners. Additionally, Deepchecks offers specialized solutions for evaluating large language model (LLM) applications, assisting in identifying issues such as hallucinations, biases, and compliance deviations.

Open Source Testing: Provides a Python-based solution for validating machine learning models and data with minimal effort.
LLM Evaluation: Offers tools to test, evaluate, and monitor LLM-based applications, ensuring quality and compliance.
ML Monitoring: Continuously tracks model performance in production to detect issues and maintain optimal operation.
Golden Set Management: Enables the creation and management of a curated set of examples for consistent performance evaluation across model versions.
Automated Scoring: Provides well-defined metrics for each aspect of AI applications, facilitating objective assessments.