Comments (6)
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What is the current prompt and input being used to produce short summary for the conversation name @cebtenzzre ?
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We append the following hard-coded prompt to the conversation in order to generate the name, which is inappropriate for many of the models we currently support which use different templates:
### Instruction:
Describe response above in three words.
### Response:
I'm not really sure why this doesn't use the current prompt template instead.
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Hello.
I've just seen the summary of a chat as "Advice: Prepare a".
Suggestion:
exclude from such summaries, when at the end of the summary:
- 1-letter sequences, which generally are of no use in that place
- even 2 or 3 - if they are not written in capital letters, which would possibly hint at abbreviations like "UK" and "UFO".
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I've also seen the summary of a chat in a language that looks different from that of the dialogue:
"Planification de la"
which looks like Spanish, although it is not - "planification".en is "planificacion".es
while the language of the chat was English, with the LLM - Nous Hermes 2 Mistral DPO.
I cannot think of a sequence in English which would contain, in a similar context of the sentence (planification of something, planning something) the words (in this order) "planification de la".
Weird stuff. Not Earth-shattering, but still.
Also, the rule of three words for the summary might not always be followed, because I've also seen this summary:
Plan-Generator-Output: In this
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Suggestion: exclude from such summaries, when at the end of the summary:
The most obvious solution to me is to prompt the LLM correctly in the first place :)
Otherwise, there will be garbage output no matter what we do. The LLM was simply not trained on the format that we have hardcoded.
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