|
|
|
|
|
|
by resource_waste
808 days ago
|
|
|
This might seem impressive because of the subjectiveness. I also imagine, you arent mentioning the times it was completely incorrect because you used a negative in the sentence. This is regular embeddings + LLM. At the end of the day, you are basically just adding a preprompt to a search. Not to mention, the Mistral models are barely useful for logic. I'm not really sure what you are getting out of it. I'm wondering if you are reading some mostly generic Mistral output with a few words from your pre-prompt/embedding. |
|
|
I haven't yet observed it being completely incorrect - I keep the queries simple without negation.
>This might seem impressive because of the subjectiveness.
It's surprising how it can summarise my relationship with another person, for example - if I ask "who is X?" it will deliver quite a succinct summary of the relationship - using my own words at times.
>I'm not really sure what you are getting out of it.
Mostly it's useful for self-reflection, it's helped me to see challenges I was facing from a more generalised perspective - particularly in my relationships with others. I'm also terribly impressed by the technology - being able to natural-language query and receive a sensible, and often insightful response - it feels like the future to me.