Overview
Deepchecks provides detailed assistance for testing needs, such as checking data accuracy, evaluating data patterns, determining data divisions, comparing models, and assessing model performance at each developmental stage. While some integrations may require additional setup efforts, Deepchecks offers extensive support for various data types, without limitations.
Overall Rating
Based on 14 users reviews
4.9
Rating Distribution
Positive
100%
Neutral
0%
Negative
0%
Starting Price
Custom
Deepchecks Software Specifications
Natural Language Dialogue
Smart Data Discovery
Self-Service Dashboards
Text to Speech & Speech to Text
What Is Deepchecks Software?
Overview
Deepchecks software is a robust tool crafted to organize and validate machine learning models throughout their life cycle. It offers a structured system to assess model performance and detect issues early on. By employing Deepchecks, data scientists can ensure their models run smoothly and generate precise outcomes. Regular monitoring prevents sudden production glitches, guaranteeing data integrity and accurate model predictions for effective machine learning deployment.
Deepchecks software Pricing
Deepchecks software pricing offers three pricing modules, including:
- Pay-as-you-go: For individuals- $0 + usage/month
- Basic: For teams- $1000/month or $300/month for startups
- Scale/Dedicated- custom quote
*Disclaimer: pricing is subject to change
Deepchecks Software Integrations
Integrations of Deepchecks software include:
- W&B
- HuggingFace
- Databricks
- H2O.ai
- Pytest
- Apache Airflow
- ZenML
- CML (Continuous Machine Learning)
Who Is Deepchecks Software For?
Deepchecks software caters to data scientists, machine learning engineers, AI researchers, and developers who build and deploy machine learning models.
Is Deepchecks Software Right For You?
Deepchecks is a comprehensive, innovative solution to streamline and improve automated testing for machine learning models. It offers modern ML validation standards and ready-made tests that users can seamlessly integrate into machine learning workflows. This tool aims to transform the validation and management of ML models.
Still assessing Deepchecks software? Call us at (661) 384-7070, and let our team help you make the right choice.
Deepchecks Software Features
Deepchecks automatically annotates interactions with Language Models (LLM) incorporating open-source, proprietary, and LLM models. Users can customize the default scoring settings, select the functions needing focus, and fine-tune properties and thresholds, which helps them adjust the sequence of each step throughout the process and enhance precision.
Automated scoring aids automated assessing through human intervention when required. It helps utilize a pre-configured auto-annotation workflow and adjust it according to user preferences.
Your models are integral to your value proposition for customers across various sectors such as healthcare, finance, IT, and e-commerce. To maintain exceptional customer service, real-time alerts about model issues are essential for prompt response.
Golden Set management, like the conventional "test set" in traditional machine learning, is customized for evaluating generative applications. Deepchecks LLM evaluation can enhance your golden set by generating fresh data or improving current datasets, providing valuable insights for further improvement and evaluation.
When the Retrieve, Analyze, Generate (RAG) feature fails to perform as required, the fine-tuning and debugging tool helps identify issues. It can utilize information to adjust the code or prompts or simply download the data for the next iteration of retraining.