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Deepchecks

Deepchecks is a platform offering automated testing, validation, and real-time monitoring of machine learning models, ensuring high performance, reliability, and ethical compliance.

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About Deepchecks

Deepchecks is an AI-powered platform designed to test, validate, and monitor machine learning (ML) models and large language models (LLMs).

It helps developers and businesses ensure that their AI models deliver high-quality, reliable, and compliant results.

With features like automated testing, real-time monitoring, and customizable evaluation metrics, Deepchecks allows users to identify performance issues, data drift, and ethical concerns such as fairness and bias.

It is ideal for applica...

Key Features

6 features
  • Automated Testing: Easily test ML models and LLMs for performance and accuracy.
  • Real-Time Monitoring: Detect data drift, concept drift, and performance degradation in real time.
  • Customizable Evaluation Metrics: Tailor evaluation criteria to match business goals and use cases.
  • Auto-Annotation Pipelines: Speed up the testing process with automated annotation and manual overrides for fine-tuning.
  • Ethical AI Compliance: Ensure models are fair, safe, and free from harmful content.
  • Root Cause Analysis: Identify issues and improve models with detailed insights.

Use Cases

5 use cases
  • Model Validation: Validate LLMs in applications like summarization, text generation, and RAG.
  • Performance Monitoring: Track ML model performance in real-time to catch issues early.
  • AI Ethics Compliance: Ensure fairness and ethical standards are met in ML models.
  • Edge Case Extraction: Automate the identification and analysis of edge cases for better model tuning.
  • Cost Reduction: Minimize manual annotation and evaluation costs with automated processes.
Added April 21, 2024
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