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amos2024ss08-cloud-native-llm
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Preprocessing of the data of the Q&A dataset
#61
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dominic0df
closed
3 weeks ago
dominic0df
commented
1 month ago
User story
As a developer
I want to transform the data of the Q&A dataset into the shape and format that the Gemma Model requires
So that I can perform LLM training afterwards
Acceptance criteria
The data of the Q&A dataset is preprocessed so that machine learning can be done afterwards with it
The data is ready to be trained with the Gemma model
Definition of done (DoD)
Bill of Materials in the planning document has been updated
All the complex logics have been tested
All feature branches have been merged and closed
New feature code has been documented
Potential new licenses have been checked
All GitHub Actions are passing
The requirement.txt is updated
DoD general criteria
Feature has been fully implemented
Feature has been merged into the mainline
All acceptance criteria were met
Product owner approved features
All tests are passing
Developers agreed to release
dominic0df
commented
3 weeks ago
added DoD
User story
Acceptance criteria
Definition of done (DoD)
DoD general criteria