Deepchecks is a versatile tool for any individual or business working with large language models. The AI model generates text, translates languages, writes different kinds of creative content, and answers your questions in an informative way.
The AI tool helps you ensure that your LLMs are working correctly. It offers a bunch of impressive features for testing and monitoring LLMs. It ensures that the LLMs model is biased or not, provides correct output, and follows the rules you set for it.
The following procedure is important because sometimes LLM models make mistakes, such as giving you an incorrect answer or creating offensive text.
Deepchecks Review Summary Performance Score
A+
Interface
User-Friendly
AI Technology
Natural Language Processing, Machine Learning
Purpose of Tool
Ensures the reliable performance and compliance of LLM.
Compatibility
Desktop Computers, Laptop
Pricing
Free with Paid
Who is best for using Deepchecks?
- Data Scientists: It helps them to focus on analyzing, testing, and validating the performance of machine learning models, especially LLMs.
- AI/ML Engineers: The Deepchecks tool ensures LLM's reliability, fairness, and compliance.
- Software Developers: The AI tool helps them integrate large language models into applications and test outputs systematically.
- Quality Assurance Teams: It helps Professionals who are responsible for ensuring that AI models produce high-quality and unbiased results.
Automated Bias Detection
Policy Adherence Monitoring
Golden Set Automation
Real-Time Model Monitoring
Hallucination Detection
Open Source Integration
Customizable Testing Suites
Scalable for Teams
Is Deepchecks Free?
Yes, the platform offers a free trial without any cost, and you can use the following features in this plan.
- Token Processed Per Month� (Usage Based)
- Tokens Processed for LLM-based Properties (Usage Based)
- 1 Number of Applications�
- 1 Number of Seats�
Basic Plan
At $1000 per month, you can use the advanced capabilities and features of Deepchecks.
- 5M+ Token Processed Per Month��
- 10M+Tokens Processed for LLM-based Properties
- 3 Number of Applications�
- 3 Number of Seats�
Deepchecks Pros and Cons
DeepChecks covers a wide range of potential issues.
It automates the creation of labeled datasets, saving significant time.
The AI tool continuously monitors models post-deployment.
It is built on a trusted Python-based open-source framework.
Complex issues like hallucinations and biases often need manual review.
The price of a paid plan is expensive for small and medium firms.
