如何基于自有组件进行二次训练？
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Domain
- ai, machine-learning
Research direction
No files, tests, or entry points are named. Start by reviewing the repository's training documentation and locating any existing fine-tuning or data-preparation entry points; define what method and reproducible steps would let a private component and coding-standard dataset influence generation without relying on the full context window.
Written by the indexing model from the issue text.
Description
有一堆私有开发规范以及组件，如何让模型具备使用这些知识生成代码的能力（而不是基于它本身的代码知识）。直接放上下文长度不够。
如何训练呢？
- Dominant language
- No language data
- Stars
- 759
- Forks
- 60
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
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