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  This LoRA adapter was fine-tuned on the `bitext/Bitext-customer-support-llm-chatbot-training-dataset`, specifically by:
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  1. Grouping the data on the following `category` column values: `ORDER`, `DELIVERY`, `SHIPPING`
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- 2. Merging `intent` and `response` columns into a new single column called `response_json` that is a JSON object consistint of two keys: `intent` and `response`.
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  This is what the dataset looks like once it is preprared:
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  This LoRA adapter was fine-tuned on the `bitext/Bitext-customer-support-llm-chatbot-training-dataset`, specifically by:
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  1. Grouping the data on the following `category` column values: `ORDER`, `DELIVERY`, `SHIPPING`
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+ 2. Merging `intent` and `response` columns into a new single column called `response_json` that is a JSON object consisting of two keys: `intent` and `response`.
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  This is what the dataset looks like once it is preprared:
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