What is Deepchecks LLM Evaluation?
Continuously validate LLM-based applications including LLM hallucinations, performance metrics, and potential pitfalls throughout the entire lifecycle from pre-deployment and internal experimentation to production.🚀
Problem
Developers and companies face challenges in validating, monitoring, and safeguarding LLM-based applications throughout their lifecycle. This includes issues like LLM hallucinations, inconsistent performance metrics, and various potential pitfalls from pre-deployment to production.
Solution
Deepchecks offers a solution in the form of a toolkit designed to continuously validate LLM-based applications, including monitoring LLM hallucinations, performance metrics, and identifying potential pitfalls throughout the entire lifecycle of the application.
Customers
Developers, data scientists, and organizations involved in creating or managing LLM (Large Language Models)-based applications.
Unique Features
Deepchecks stands out by offering a comprehensive evaluation tool that works throughout the entire lifecycle of LLM-based applications, from pre-deployment to production stages.
User Comments
Users have not provided specific comments available for review at this time.
Traction
Specific traction details such as number of users, MRR, or financing are not available at this time.
Market Size
The market size specifically for LLM-based application validation tools is not readily available. However, the AI market, which includes LLM technologies, is projected to grow to $641.30 billion by 2028.
