Liqun Li

This error happens when TaskWeaver was trying to bring up a code executor which is a Jupyter process. I'm not sure if this is allowed in google colab environment.

@JerryLead 个人觉得这里narrow vs. wide定义不是很清楚，感觉作者原意是想把确定的和随机的分开，所以如果中间有shuffle操作则为wide，否则为narrow。其实际的含义是确定和不确定的区别（即给定一个子partition，其父partition是完全确定的），而不是full还是partial。尤其，"essentially" 建议改为"typically"，否则意思上也是有自相矛盾的地方。

I don't know why sometimes it fails to generate any numbers which caused my experiments to fail. That's why I have to make a workaround by returning a default number...

What is your query? It seems that the agent saved an artifact to the cwd. But the `sql_pull_data` plugin should not do that.

> > What is your query? It seems that the agent saved an artifact to the cwd. But the `sql_pull_data` plugin should not do that. > > The plugin does...

The problem is not with Ollama, but the capability of the model served with Ollama. The model failed in following the instructions in the prompt to generate a response in...

Good to know.

> > The problem is not with Ollama, but the capability of the model served with Ollama. The model failed in following the instructions in the prompt to generate a...

This is not a valid entrance of the current project. Please follow our latest document to use this project.

> Can you try `generator = generate.json(model, add, whitespace_pattern="")` ? Any place in the document has more details on this?