# Understanding regarding "Question Answering model using open-source LLM"

**URL:** <https://discuss.huggingface.co/t/understanding-regarding-question-answering-model-using-open-source-llm/38597>\
**Category:** Beginners\
**Created:** [May 3, 2023, 9:56pm UTC](https://discuss.huggingface.co/t/understanding-regarding-question-answering-model-using-open-source-llm/38597 "2023-05-03T21:56:01Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Iamexperimenting](https://avatars.discourse-cdn.com/v4/letter/i/839c29/32.png) [@Iamexperimenting](https://discuss.huggingface.co/u/Iamexperimenting)\
**Post date:** [May 3, 2023, 9:56pm UTC](https://discuss.huggingface.co/t/understanding-regarding-question-answering-model-using-open-source-llm/38597/1 "2023-05-03T21:56:01Z")

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Hi,

I would like learn and understand how do I address the below questions, can someone please help me?

1. currently, I use my data(20 files) to create embedding from HuggingFaceEmbeddings. Even if I have 2 millions files do I need to follow the same steps like 1.create embedding from HuggingFaceEmbeddings, 2. do similarity test, and 3. pass it to model?
2. At what stage I need to retrain the LLM?
3. is it possible to retrain the LLM with my own data?
4. currently, your notebook show chromadb as vector db, In case if I want to move it production how do I host it? where do I store all my data(embeddings)? do I need to store all embedding in any database, if yes, could you please recommend any?
5. how do I evaluated dolly LLM with my data?
6. currently, I noticed dolly model with my data gives one wrong answer. so, how do I correct the model? if it is other model like text classification I would correct the label and retrain the model with corrected label. how do I do it here?