opendatalab / opendatalab/LabelLLM
【建议】能否加入大模型实时生成回复模式
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- Dominant language
- TypeScript
- Stars
- 1.3k
- Forks
- 131
- PR merge metrics
- No merged PRs in 30d
Description
非常感谢你们的帮助，非常好的开源项目。
我有一个请求，在多轮对话的标注中，上下文的关联性很强。当我修改大模型回复，或者标记为不佳后，其实后面的对话已经没有意义了。
因此能加入一个功能，可以导入open ai格式的大模型api，使得修改或标记后可以重新生成后续的对话内容。
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
Start by reviewing LabelLLM's multi-turn annotation flow and the integration point for an OpenAI-format model API. Define how editing or marking a model reply triggers regeneration of later turns; done means subsequent conversation content can be regenerated consistently after either action.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript
- Domain
- api
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100