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Like for example if i got some interest from topic of blog or news and want to read it later but blog or news is too big and i wanna just extract useful info from it with complete summary and generate report of it then it can save much more time of people using omnivore.
Data can be extracted from links which we save using scraping and can be feed to llm to summarize and extract info and summarize. 13b quantized and 22b quantized open source models i have seen perform really great so just wanted to share what can be added and how it can be useful :-))
Thankyou
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Like for example if i got some interest from topic of blog or news and want to read it later but blog or news is too big and i wanna just extract useful info from it with complete summary and generate report of it then it can save much more time of people using omnivore.
Data can be extracted from links which we save using scraping and can be feed to llm to summarize and extract info and summarize. 13b quantized and 22b quantized open source models i have seen perform really great so just wanted to share what can be added and how it can be useful :-))
Thankyou
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