✨ 介绍

There isn't a single correct answer to this question. With the rapid pace of AI model development, new open-source models are released every week, often claiming to outperform previous versions. The best model for your needs depends largely on your GPU capacity and the type of data you're working with.

It's a good idea to explore newer, widely accepted models with strong general capabilities. You can refer to this list for available open-source models, their release dates, and fine-tuned variants.

NaN stands for "Not a Number." In ragas evaluation results, NaN can appear for two main reasons:

• JSON 解析问题：模型的输出无法被 JSON 解析。ragas 要求模型输出与 JSON 兼容的响应，因为所有提示都是使用 Pydantic 结构化的。这可确保对 LLM 输出的高效解析。

The best way is to trace and log your evaluation, then inspect the results using LLM traces. You can follow a detailed example of this process here.