added evaluation custom criteria #30
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This PR expands on the evaluation metrics by using custom langchain evaluation metrics which utilize a LLM in the backend to score model generated outputs on custom criteria and some pre-defined criteria.
In this iteration, for demonstration purposes, we add criteria such as grammatical correctness, helpfulness and descriptiveness.
Based on the actual requirements, these criteria can be updated.
Discussions on evaluation metrics can be found here:https://docs.google.com/document/d/1I2ea71M6E8SJBYe9k1Gzw2lfshppikwf4ndKtlEClNk/edit?usp=sharing
More information on Langchain custom evaluation criteria can be found here: https://python.langchain.com/docs/guides/evaluation/string/criteria_eval_chain