Thanks for the reply.
Well, I linked to two specific examples of what people were trying to achieve. Below are the links I provided with a relevant excerpt for each. This would seem to be enough information to provide specific guidance as to whether fine-tuning is viable for the use case. If it’s only viable under certain refinements of those examples, then what might such refinements consist of.
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Can this api be used to query internal data?
I would like users in my company to be able to consult the thousands of pdf, doc and xls files that have been generated for more than 30 years, making offers through a chat bot and through natural language and I don’t know if this is possible . -
Reddit - Dive into anything
Hey guys, I want to train any LLM on my company’s data we have stored in Azure and Snowflake
It’s all in tabular form, and I was wondering how can I train an LLM on the data, and be able to ask it questions about it. No computations required from the model, but at least be able to tell answer questions such as: What was Apple’s return compared to it’s sector last month ( we have financial data)