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I spent some time yesterday playing around with the prompt to generate tags, using meeting notes, a research note and a blog post as examples to test against. This one seemed to work well on OpenAI ChatGPT gpt-4-turbo
I had to give in the prompt guidance to kebab-case the tags. I was getting tags like Corporate Responsibility and Obsidian broke that into 2 tags in YAML
Analyze the following content and generate concise,
relevant tags that accurately represent key themes and actionable insights.
{{input}}
**Guidelines for tag selection:**
- Use specific tags over general ones when applicable.
- Avoid redundant tags if an existing tag already covers the concept.
- Ensure suggested tags are concise and meaningful.
- **Use kebab-case (e.g., corporate-ethics, workplace-inclusion) instead of spaces in tags.**
- Do not break down names or multi-word concepts into individual
words (e.g., JohnSmith, corporateResponsibility).
- Prefix people with `ppl/`
- Prefix companies with `co/`
- Prefix organizations with `org/`
**Answer format:**
JSON {reliability:0~1, outputs:["tag1","tag2",...]}
Give a slight preference to these reference tags: {{reference}}
the ppl/, co/, and org/ prefix are just my convention to wrangle tags...
The text was updated successfully, but these errors were encountered:
I spent some time yesterday playing around with the prompt to generate tags, using meeting notes, a research note and a blog post as examples to test against. This one seemed to work well on OpenAI ChatGPT
gpt-4-turbo
I had to give in the prompt guidance to kebab-case the tags. I was getting tags like Corporate Responsibility and Obsidian broke that into 2 tags in YAML
the
ppl/
,co/
, andorg/
prefix are just my convention to wrangle tags...The text was updated successfully, but these errors were encountered: