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README.md
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slim-sentiment has been fine-tuned for **named entity extraction** function calls, generating output consisting of a python dictionary corresponding to specified keys, e.g.:
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`{"people": ["
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SLIM models are designed to provide a flexible natural language generative model that can be used as part of a multi-step, multi-model LLM-based automation workflow.
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slim-sentiment has been fine-tuned for **named entity extraction** function calls, generating output consisting of a python dictionary corresponding to specified keys, e.g.:
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`{"people": ["..."], "organization":["..."], "location": ["..."]}`
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SLIM models are designed to provide a flexible natural language generative model that can be used as part of a multi-step, multi-model LLM-based automation workflow.
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