Elia Wäfler@elia-w
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Data manager
Switzerland
2 years of experience
About me
I am excited to learn how to embed difficult datasets. I am interested in working with small models. Furthermore, I am interested in testing and finding the best search algorithms for different embedding’s, different tasks, different datasets.
is under improvement
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Anomaly detection in metadata of documents
Using AI to find mistakes in the metadata of PDF documents. The user can upload a document without metadata, the upload is ingested using unstructured.io. Then AI(Mistral) adds metadata, which is displayed in the UI. The user could now copy that out and use to assign metadata to his documents. The user can then upload another document with the human given metadata, or load a lot of documents with correct metadata from a vectorstore (vectara). The user can also provide his own metadata for the document as a textstring. Mistral then compares the two versions of the metadata and tells the user the differences and similarites between both sets of metadata.
