Let’s say you would want to create an AI bot on topic X. So that if you would ask it in-depth questions about that topic, it is able to understand you and answer you in natural language. There are two ways to do it (that I know of): You fine-tune an existing model with lots of examples You use an…

Using external vector embeddings versus fine-tuning; what will be the output difference?

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