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.
Deepchecks Key Features
| 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
Pros
- 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.
Cons
- Complex issues like hallucinations and biases often need manual review.
- The price of a paid plan is expensive for small and medium firms.
FAQs
Does DeepChecks work with open-source models?
Yes, it integrates seamlessly with open-source frameworks and supports a variety of LLMs.
What problems does DeepChecks solve?
It detects issues like biases, hallucinations, incorrect outputs, and policy violations in LLMs.
What is a Golden Set in DeepChecks?
A Golden Set is a curated test dataset with annotations, which DeepChecks automates to reduce manual efforts.
