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Semantic recognition or semantic classification #204

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opened 2026-02-15 16:28:42 -05:00 by yindo · 2 comments
yindo commented 2026-02-15 16:28:42 -05:00
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Originally created by @20246688 on GitHub (Jan 17, 2025).

When working on tools, is there a way to incorporate semantic recognition or semantic classification based on user text before model inference?

Originally created by @20246688 on GitHub (Jan 17, 2025). When working on tools, is there a way to incorporate semantic recognition or semantic classification based on user text before model inference?
yindo closed this issue 2026-02-15 16:28:43 -05:00
yindo commented 2026-02-15 16:28:43 -05:00
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@ParthSareen commented on GitHub (Feb 13, 2025):

If you're asking about how tools get called - the model is going to take into account whatever context/messages it's been passed. If you want to pre-filter a user's intent you can have a multiple calls to the model to do that.

@ParthSareen commented on GitHub (Feb 13, 2025): If you're asking about how tools get called - the model is going to take into account whatever context/messages it's been passed. If you want to pre-filter a user's intent you can have a multiple calls to the model to do that.
yindo commented 2026-02-15 16:28:43 -05:00
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@20246688 commented on GitHub (Feb 13, 2025):

If you're asking about how tools get called - the model is going to take into account whatever context/messages it's been passed. If you want to pre-filter a user's intent you can have a multiple calls to the model to do that.

Thank you for your response. I'm already trying to tag tasks using the model, then fetching the relevant data based on those tags and sending it as context to the model.

@20246688 commented on GitHub (Feb 13, 2025): > If you're asking about how tools get called - the model is going to take into account whatever context/messages it's been passed. If you want to pre-filter a user's intent you can have a multiple calls to the model to do that. Thank you for your response. I'm already trying to tag tasks using the model, then fetching the relevant data based on those tags and sending it as context to the model.
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Reference: ollama/ollama-python#204
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