Hello community,
I am new to Vertex AI currently exploring different usecases of it.
Currently, I am trying to build Vertex Search App on our internal software logs to make it easy for our engineers to search through logs using Natural Language.
I am trying to tune the base model as I want to feed in domain specific knowledge to it. What are some techniques which I can use?
I have already tried boost/bury and filtering based on search queries. I am trying to do something to tune base model with domain specific queries and knowledge.
Any help will be appreciated, thanks in advance.
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