microsoft / microsoft/OptiGuide
In context Learning
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- Dominant language
- Python
- Stars
- 713
- Forks
- 127
- PR merge metrics
- No merged PRs in 30d
Description
Can you explain in detail how the in context learning is done? Is it only by giving the question answer pair in the code as we see in colab notebook or is there a preliminary training or fine tuning of LLM done?
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
Start with the Colab notebook referenced in the issue and trace how the question-answer pairs are supplied to the model. Done means documenting whether the behavior comes from those examples alone or from preliminary training or fine-tuning, with enough detail for readers to follow the process.
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Assessment
- Tech stack
- python
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100