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@li.shou274:
Li Shou
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Region: FR
Saturday 27 June 2026 08:55:43 GMT
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Bate1945 :
beautiful 🥰
2026-06-27 11:50:27
3
Ali :
Beautiful
2026-06-27 13:50:45
3
Ja/b :
2026-06-27 09:43:15
2
Simas🇱🇹 :
❤️❤️
2026-06-28 05:41:40
2
oscar moster :
wauuuu
2026-06-28 01:51:49
3
Cerberos :
2026-06-28 15:40:22
1
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humm maravilhosa
2026-06-27 11:04:31
2
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2026-06-27 09:00:42
4
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Wow😍😍😍😍
2026-06-27 10:21:09
2
Jose Ricardo Viana de Oliveira :
magrinha meu sonho☺️
2026-06-28 19:20:15
0
marcomejer :
Hallo hübsche Frau
2026-06-27 09:02:16
3
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2026-06-27 12:44:01
2
Río negro Luis 🇦🇷 :
2026-07-21 19:49:21
1
Ramiro :
2026-06-27 13:38:24
4
Феликс :
крамотка
2026-06-27 17:35:32
1
𝕊𝕒𝕟𝕛𝕒 𝔹𝕖𝕣𝕛𝕒𝕝 :
2026-07-25 11:58:05
0
user3342583994536 :
hermosa 🥰🥰
2026-07-06 19:04:55
0
Srdjan 🇷🇸☦️ :
2026-07-06 09:47:12
0
vigo :
♥️
2026-06-27 13:03:16
2
To see more videos from user @li.shou274, please go to the Tikwm homepage.
Other Videos
Local AI Accounting: Invoice to JSON with LangChain, Docling and LLama #python #coding #programming #AI In a previous video I showed you how you can automate your accounting of your invoices to PDF OCR using the Gemini API with a long chain RAG app. In there I got some feedback that it's critical to upload sensitive data to an API. And you are absolutely right. Therefore, I created this version using a local LLM so we don't expose our data to a cloud or online service. I even improved the quality using Pythonic to create a data template the LLM can understand, and improve the PDF handling by using the docling library from IBM. This is a kinda solid solution. At the end we get back extracted data from a PDF sent to a JSON file which we could easily use to store it in a central file like a CSV or directly send it to a database. Background 🎧: Rain, Book And Cup Of Tea by | e s c p | https://www.escp.space https://escp-music.bandcamp.com
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