Training Effects
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- Dominant language
- Jupyter Notebook
- Stars
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- Merged PRs (30d)
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Description
I'd like to ask, after I've finished training, how do I invoke the trained model to answer questions based on a knowledge base and evaluate the training effect?
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file, notebook, or inference entry point is named in the issue, so first locate the repository's training and model-invocation examples. Done should explain how to invoke a trained model with a knowledge base and how to evaluate the training effect, with a reproducible usage path.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100