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spacy-llm doesn't provide any tools for fine-tuning LLMs. For that, I recommend looking into the capabilities of the provider you're using (OpenAI, Anthropic, Cohere, ...) or, correspondingly, open source tools (e. g. here).
A knowledge base is not part of the NER task, no.
I recommend tackling this by combining the LLM NER task with an EntityRuler to leverage a rule-based approach if you have prior knowledge about the entities in your data and/or a pretrained spaCy NER (non-LLM) component. This should help catch entities not identified by your LLM.
Indeed, this can solve some NER problems. How to target those parts that cannot be extracted?
Is there a method for fine tuning provided
Is a knowledge base provided
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