Leverage the ability of the mPLUG-Owl doc understanding mannequin to ask questions on your paperwork
![Towards Data Science](https://miro.medium.com/v2/resize:fill:48:48/1*CJe3891yB1A1mzMdqemkdg.jpeg)
Eivind Kjosbakken
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In direction of Knowledge Science
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This text will talk about the Alibaba doc understanding mannequin, just lately launched with mannequin weights and datasets. It’s a highly effective mannequin able to performing varied duties equivalent to doc query answering, extracting data, and doc embedding, making it a useful instrument when working with paperwork. This text will implement the mannequin regionally and check it out on completely different duties to offer an opinion on its efficiency and usefulness.
· Motivation· Duties· Working the mannequin regionally· Testing of the mannequin∘ Knowledge∘ Testing the primary, leftmost receipt:∘ Testing the second, rightmost receipt:∘ Testing the primary, leftmost lecture be aware:∘ Testing the second, rightmost lecture be aware· My ideas on the mannequin· Conclusion