DMC DeLorean

[cpgill1]

If your PR is related to a contribution to the taxonomy, please, fill
out the following questionnaire. If not, replace this whole text and the
following questionnaire with whatever information is applicable to your PR.

#824

Describe the contribution to the taxonomy

• ...
• ...
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Input given at the prompt

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Response from the original model

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Response from the fine-tuned model

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Contribution checklist

• The contribution was tested with ilab generate
• No errors or warnings were produced by ilab generate
• All commits are signed off (DCO)
• The qna.yaml file contains at least 5 seed_examples
• The qna.yaml file was linted and prettified (yaml-validator can do both)
• An attribution.txt file in the same folder as the qna.yaml file
• Content does not include PII or otherwise sensitive or confidential information
• Content does not include anything documented in the project's Avoid these Topics guidelines

[instruct-lab-bot]

Beep, boop 🤖, Hi, I'm @instructlab-bot and I'm going to help you with your pull request. Thanks for you contribution! 🎉

I support the following commands:

• @instructlab-bot precheck -- Check existing model behavior using the questions in this proposed change.
• @instructlab-bot generate -- Generate a sample of synthetic data using the synthetic data generation backend infrastructure.
• @instructlab-bot generate-local -- Generate a sample of synthetic data using a local model.
• @instructlab-bot help -- Print this help message again.

Note

Results or Errors of these commands will be posted as a pull request check in the Checks section below

Note

Currently only maintainers belongs to [[taxonomy-triagers taxonomy-approvers taxonomy-maintainers labrador-org-maintainers instruct-lab-bot-maintainers]] teams are allowed to run these commands.

[jjasghar]

Please fix the multiline yaml issue then we can run the linter.

[jjasghar]

Hi! 👋
With the new update and release of 0.18.0, our base knowledge submissions have drastically changed. This has given us an opportunity to significantly improve the accuracy of our fine-tuned models, which is a major win for our community!
But alas, that has caused some changes that this PR isn't able to continue forward. We greatly appreciate the work you've put into this, and wish we could accept it but the amount of work to get it to be version: 3 is unrealistic for us to ask.
If you do want to do this, please don't hesitate to take the qna.yaml update it, and build it out. Otherwise, we hope you come back to our community with a new submission and help build out our Open Source community-driven LLM.

If you have any questions directly, please don't hesitate to comment on the PR or email me at awesomeATinstructlab.ai (yes, really), and I'll do my best to answer your questions.