Return Citations
SelectDetermines whether or not a request to an online model should return citations.
Perplexity's latest model family surpassing earlier versions in cost-efficiency, speed, and performance.
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Determines whether or not a request to an online model should return citations.
Determines whether or not a request to an online model should return images.
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Sonar Large Online Deprecated discussions are most active in r/perplexity_ai. The strongest match in this snapshot has 15 upvotes and 1 comments.
Hey all, I use a python script that calls the sonar-large-online API to do research for blog articles. I basically generate a bunch of questions about a topic and then send them to the API to see what quantitative data is available.
This worked great with the old pplx-70b-online API, if it didn't have any quantitative data available for a topic it would state that and would only very rarely hallucinate.
Sonar-large-online, on the other hand, hallucinates CONSTANTLY. If it doesn't have any quantitative data about a topic, it will just wholesale make up numbers and then attribute them to a source that it made up. What's worse is that it will sometimes make up numbers and then attribute them to a real article or paper, so everything it provides me with has to be laboriously double checked.
I've tried being very strict with the prompt, telling it to not hallucinate, to never make up sources etc., and this works sometimes but very inconsistently.
Is the sonar-large-online API just never going to work properly for this type of research? Is it a prompt problem? Is there a different API that is better? Any help would be appreciated, thank you!
https://www.zdnet.com/article/ai-startup-mistral-launches-a-281gb-ai-model-to-rival-openai-meta-and-google/
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