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You would still need a huge training and data set for model before it can do something useful from your private data.
by nicce 3y ago
You would still need a huge training and data set for model before it can do something useful from your private data.
- selfhoster11 3y agoRetrieval Augmented Generation (RAG) is a good stopgap measure. It avoids the need for a lot of work on customising the LLM by supplying the relevant data via vector DB queries and letting LLM remain as a "calculator for words" that will just rephrase/extract the answer from the DB query result.