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Comment by candiddevmike | Hacker News Reader

I'm not an LLM, but I am a native English speaker and English is pretty awful for conveying information succinctly. The lengths you must go with prompts to ensure you're getting the right response is extremely similar to the lengths you go to when delegating something to someone or describing requirements to a project. I wonder if whatever language we end up using to "converse" with LLMs would have value within an organization/email/Jira.

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> I’m not an LLM, but English is already pretty awful for conveying information succinctly. The lengths you must go with prompts to ensure you’re getting the right response is extremely similar to the lengths you go to when delegating something to someone or describing requirements to a project. I wonder if whatever language we end up using to “converse” with LLMs would have value within an organization/email/Jira.

People already adopt context-specific specialized languages in contexts like that for clarity, what will probably happen is that LLMs will get better at adapting or being adapted to specific contexts.

I'm normally the type of Google person with doing minus or using other tags.

I totally gave that up with chatgpt and the magic of it is that it understands it so so we'll.

Sometimes I also switch to German in the middle of a sentence or use very vague words to describe something if the word is missing in my head.

I prefix my longer prompts with glossaries. It lets me write more succinctly.

I would love an example of this.

It's pretty simple, I just add a glossary of terms at the top.

When asking for creative but well-structured output that requires specific definitions of certain words to be useful, I've found it works best to use words for your terms that don't actually exist. Otherwise it seems to focus a bit more on the broader word more than it should rather than your definition, especially if you use it a lot.

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