Inner Thoughts, Tool Responses 这些数据怎么训练?
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 12.3k
- Forks
- 1.1k
- PR merge metrics
- No merged PRs in 30d
Description
请问在微调大模型的插件能力时,需要用到这个数据吗
https://github.com/OpenLMLab/MOSS/tree/main/SFT_data/conversations/conversation_with_plugins/web_search
这里的Inner Thoughts, Tool Responses 这些数据 怎么用于训练呢?
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 with SFT_data/conversations/conversation_with_plugins/web_search in the linked repository and inspect how the conversation records represent Inner Thoughts and Tool Responses. Compare the data format with the project’s fine-tuning entry points. Done means documenting whether these fields are required and how they are consumed during training.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100