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Model training

Model training is for work a general chatbot should not guess at: your documents, your products, your floor. We prepare the data, train or adapt the model, measure it against cases you care about, and hand over the run, not a notebook that only we can open.

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What you get

  1. 01

    A data set your team can explain

  2. 02

    A trained or adapted model

  3. 03

    An evaluation against real cases

  4. 04

    A way to run it after we step back

Built with: Python, PyTorch

Questions

When is training the right job?

When the answers have to come from your material, and a prompt on a general model keeps missing. If a simpler automation will do, the audit says so first.

Who owns the model afterward?

You do. Training includes the evaluation and the path your team uses to run it.

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