1. LIT allows side by side AI model comparison to evaluate the performance and contrast the strengths and weaknesses. So basically model evaluation is easy.
2. It is highly interpretable as it gives visualizations and insights into decision making, to explain why the models produce a typical output. Review collected by and hosted on G2.com.
Improving the scalability and performance of LIT protocol would enable it to handle larger models and datasets more efficiently, ensuring a smooth user experience even with complex AI systems. Review collected by and hosted on G2.com.
