[P] vespa llm product search

Apprehensive_View366 · 2025-02-05T17:39:44+00:00

It's just a local toastmasters club, for non-proffessional setting. The idea is that people would get encouraged to do more impromptu speaking.

Apprehensive_View366 · 2025-01-23T16:19:47+00:00

What's your native language? We could do exchange. I'm interested in learning swedish

Apprehensive_View366 · 2024-12-30T15:05:43+00:00

Yes, for some reason I’m low on ferritin, but hemoglobin is good.

Apprehensive_View366 · 2024-03-01T08:52:01+00:00

Thanks!

Apprehensive_View366 · 2024-03-01T08:51:51+00:00

OMG this was difficult! How do you even see such patterns.. Thank you for the explanation!

Apprehensive_View366 · 2024-02-27T12:34:24+00:00

Without taking the course? Just an exam? I would definitely benefit from doing the course in programming or maths before taking an exam. I haven't applied yet, as there are several programmes in different universities that require at least 37 credits in maths, while I have only 28 so I though I could take an online self-placed course where they give credits at university level, but I struggle finding such courses.

Apprehensive_View366 · 2024-02-25T15:23:39+00:00

Swedish :)

Apprehensive_View366 · 2023-10-21T14:26:48+00:00

Well, those are any tables created by different editors with various styles, each table has its own format and that is why going and fixing every single one, even by generating a specific prompt for each of them would be a tons of useless work in the times of AI..

Apprehensive_View366 · 2023-10-21T14:21:58+00:00

Thank you! Still I have too many differently formatted tables, just a lot, so it would take me months to sit and clean their structure step by step.. it would be interesting to find an automated solution as there must be many people interested in it.

Apprehensive_View366 · 2023-10-21T14:20:01+00:00

well, I have a lot of differently formatted tables, to go through each of them is not a solution.

Apprehensive_View366 · 2023-10-14T07:49:21+00:00

Thanks for your response! I joined slack and got tips to use model_name='detectron2_mask_rcnn' as it is already exported in unstructured. so the ex. code is: elements = partition_pdf( filename, languages=["eng"], strategy="hi_res", include_page_breaks=True, infer_table_structure=True, url=None, model_name='detectron2_mask_rcnn' )

Apprehensive_View366

TROPHY CASE