westurner2y agoHN ↗What about citations, and indicating provenance of derived knowledge?neuml/txtai, neuml/paperai: https://github.com/neuml/paperai"Wikidata, with 12B facts, can ground LLMs to improve their factuality" (2023) https://news.ycombinator.com/context?id=38309408
dmezzetti2y agoHN ↗Good points, as you reference.txtai can build citations for single record answers. https://neuml.hashnode.dev/build-rag-pipelines-with-txtaiI have it on my list to figure out how to cite multiple answer/multiple record citations.
westurner2y agoHN ↗Is there different output each time you run this function; does it converge upon true statements predicated by premises?Is there different output with different system prompts, then?/? "system prompt" https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
dmezzetti2y agoHN ↗I haven't noticed that to be the case. Small prompt changes can change the output though as with all LLMs.
What about citations, and indicating provenance of derived knowledge?
neuml/txtai, neuml/paperai: https://github.com/neuml/paperai
"Wikidata, with 12B facts, can ground LLMs to improve their factuality" (2023) https://news.ycombinator.com/context?id=38309408
Good points, as you reference.
txtai can build citations for single record answers. https://neuml.hashnode.dev/build-rag-pipelines-with-txtai
I have it on my list to figure out how to cite multiple answer/multiple record citations.
Is there different output each time you run this function; does it converge upon true statements predicated by premises?
Is there different output with different system prompts, then?
/? "system prompt" https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
I haven't noticed that to be the case. Small prompt changes can change the output though as with all LLMs.