Welcome to EvalKit, the open-source library designed to help TypeScript developers evaluate and improve the performance of large language models (LLMs) with confidence. EvalKit provides a suite of tools and evaluators to ensure your AI models are reliable, accurate, and trustworthy.Documentation Index
Fetch the complete documentation index at: https://docs.evalkit.ai/llms.txt
Use this file to discover all available pages before exploring further.
Why EvalKit?
In the world of artificial intelligence, particularly with large language models, ensuring the quality and reliability of AI outputs is a significant challenge. Models can produce outputs that are coherent and relevant but still contain errors, biases, or inconsistencies. EvalKit addresses these challenges by offering robust evaluation tools.Key Features
- Bias Detection: Identify and mitigate biases in your models to ensure fairness.
- Dynamic Evaluation (G Eval): Perform versatile evaluations based on custom criteria.
- Coherence, Faithfulness, and More: Assess various aspects of model performance with specialized evaluators.