Today, I'm working on trying to better understand how coding assistants mention HF's products
TL;DR · AI Summary
The author is researching how coding assistants mention HF's products and is attempting to understand through extensive querying and analysis using @DAKlingbeil's tool.
Key Takeaways
- The author is using @DAKlingbeil's tool for analysis.
- The author mentions using submarine.ai for querying and analysis.
- The author asks if there are better or different approaches.
Outline
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The author is researching how coding assistants mention HF's products.
The author is using @DAKlingbeil's tool for extensive querying and analysis.
The author mentions using submarine.ai for querying and analysis.
The author asks if there are better or different approaches.
Mindmap
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查看大纲文本（无障碍 / 无 JS 友好）
- 研究编程助手提及HF产品的方法
- 使用@DAKlingbeil的工具进行分析
- 使用submarine.ai进行查询和分析
- 询问是否有更好的或不同的方法
Highlights
Key sentences worth saving and sharing.
Are there better/different approaches?
Taking a simple approach of running tons of queries and analyzing the answers with @DAKlingbeil's https://t.co/o6xsK3YfKZ (ex: https://t.co/D4wCm4mHJN)
Are there better/different https://t.co/sgPP3WlWXF" / X
Today, I'm working on trying to better understand how coding assistants mention HF's products. Taking a simple approach of running tons of queries and analyzing the answers with
submarine.ai (ex: huggingface.co/datasets/clem/). Are there better or different approaches? What has been working for you?
