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Deepchecks

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20 reviews
  • 1 profiles
  • 2 categories
Average star rating
4.3
Serving customers since
2019

Profile Name

Star Rating

12
7
1
0
0

Deepchecks Reviews

Review Filters
Profile Name
Star Rating
12
7
1
0
0
Verified User in Computer Software
UC
Verified User in Computer Software
02/17/2025
Validated Reviewer
Review source: Organic

Great Model Quality Assurance

Deepchecks is really great for monitoring model performance, especially when it comes to detecting irrelevant answers and hallucinations. The broad range of tasks it supports makes it incredibly versatile. The platform’s ease of use for both data scientists is a major plus.
Almog B.
AB
Almog B.
Seasoned tech entrepreneur - exploring new ideas; AI Infra/LLM/GenAI consultant
10/28/2024
Validated Reviewer
Review source: Organic

Great Platform for Cross-Functional Teams

The best part of Deepchecks is how well it supports both technical users like data scientists and non-technical users like product managers. Also, I found their support professional, fun to interact with, and very helpful.
Daniel T.
DT
Daniel T.
Growth engineering for startups | CMO @ Dagshub | Chess lover ♟️
10/24/2024
Validated Reviewer
Review source: Organic

Awesome for LLM tasks

They are great at providing a flexible solution for avariousLLM tasks, including especially summarization. The platform is user-friendly for technical and business users, making adoption across teams much easier. I also appreciate the range of deployment options available, which help meet our strict privacy standards.

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What is Deepchecks?

Deepchecks offers an open-source platform for testing and monitoring machine learning models, ensuring model reliability, robustness, and performance.

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Year Founded
2019