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Jean Louis PRO

JLouisBiz

AI & ML interests

- LLM for sales, marketing, promotion - LLM for Website Revision System - increasing quality of communication with customers - helping clients access information faster - saving people from financial troubles

Recent Activity

reacted to as-cle-bert's post with ๐Ÿค— about 6 hours ago
Ever dreamt of ingesting into a vector DB that pile of CSVs, Word documents and presentations laying in some remote folders on your PC?๐Ÿ—‚๏ธ What if I told you that you can do it within three to six lines of code?๐Ÿคฏ Well, with my latest open-source project, ๐ข๐ง๐ ๐ž๐ฌ๐ญ-๐š๐ง๐ฒ๐ญ๐ก๐ข๐ง๐  (https://github.com/AstraBert/ingest-anything), you can take all your non-PDF files, convert them to PDF, extract their text, chunk, embed and load them into a vector database, all in one go!๐Ÿš€ How? It's pretty simple! ๐Ÿ“ The input files are converted into PDF by PdfItDown (https://github.com/AstraBert/PdfItDown) ๐Ÿ“‘ The PDF text is extracted using LlamaIndex readers ๐Ÿฆ› The text is chunked exploiting Chonkie ๐Ÿงฎ The chunks are embedded thanks to Sentence Transformers models ๐Ÿ—„๏ธ The embeddings are loaded into a Qdrant vector database And you're done!โœ… Curious of trying it? Install it by running: ๐˜ฑ๐˜ช๐˜ฑ ๐˜ช๐˜ฏ๐˜ด๐˜ต๐˜ข๐˜ญ๐˜ญ ๐˜ช๐˜ฏ๐˜จ๐˜ฆ๐˜ด๐˜ต-๐˜ข๐˜ฏ๐˜บ๐˜ต๐˜ฉ๐˜ช๐˜ฏ๐˜จ And you can start using it in your python scripts!๐Ÿ Don't forget to star it on GitHub and let me know if you have any feedback! โžก๏ธ https://github.com/AstraBert/ingest-anything
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JLouisBiz's activity

reacted to orasul's post with ๐Ÿ”ฅ about 5 hours ago
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1409
hi, it is deki, and now I am open sourced.

An Android AI agent powered by open-source ML model, ๐—ฑ๐—ฒ๐—ธ๐—ถ, was fully open-sourced.

It understands whatโ€™s on your screen and can perform tasks based on your voice or text commands.

Some examples:
* "Write my friend "some_name" in WhatsApp that I'll be 15 minutes late"
* "Open Twitter in the browser and write a post about something"
* "Read my latest notifications"
* "Write a linkedin post about something"

Currently, it works only on Android โ€” but support for other OS is planned.

The ML and backend codes were also fully open-sourced.

Video prompt example:

"Open linkedin, tap post and write: hi, it is deki, and now I am open sourced. But don't send, just return"

License: GPLv3

You can find other AI agent demos or usage examples, like, code generation or object detection in github.

Github: https://github.com/RasulOs/deki
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reacted to as-cle-bert's post with ๐Ÿค— about 6 hours ago
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494
Ever dreamt of ingesting into a vector DB that pile of CSVs, Word documents and presentations laying in some remote folders on your PC?๐Ÿ—‚๏ธ
What if I told you that you can do it within three to six lines of code?๐Ÿคฏ
Well, with my latest open-source project, ๐ข๐ง๐ ๐ž๐ฌ๐ญ-๐š๐ง๐ฒ๐ญ๐ก๐ข๐ง๐  (https://github.com/AstraBert/ingest-anything), you can take all your non-PDF files, convert them to PDF, extract their text, chunk, embed and load them into a vector database, all in one go!๐Ÿš€
How? It's pretty simple!
๐Ÿ“ The input files are converted into PDF by PdfItDown (https://github.com/AstraBert/PdfItDown)
๐Ÿ“‘ The PDF text is extracted using LlamaIndex readers
๐Ÿฆ› The text is chunked exploiting Chonkie
๐Ÿงฎ The chunks are embedded thanks to Sentence Transformers models
๐Ÿ—„๏ธ The embeddings are loaded into a Qdrant vector database

And you're done!โœ…
Curious of trying it? Install it by running:

๐˜ฑ๐˜ช๐˜ฑ ๐˜ช๐˜ฏ๐˜ด๐˜ต๐˜ข๐˜ญ๐˜ญ ๐˜ช๐˜ฏ๐˜จ๐˜ฆ๐˜ด๐˜ต-๐˜ข๐˜ฏ๐˜บ๐˜ต๐˜ฉ๐˜ช๐˜ฏ๐˜จ

And you can start using it in your python scripts!๐Ÿ
Don't forget to star it on GitHub and let me know if you have any feedback! โžก๏ธ https://github.com/AstraBert/ingest-anything
New activity in THUDM/GLM-4-32B-0414 about 20 hours ago
reacted to ProCreations's post with ๐Ÿš€ 1 day ago
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1943
Come check out my new dataset Mistake to Meaning as an attempt to help smaller models understand user typos better! Hope you guys enjoy it

ProCreations/Mistake-To-Meaning
New activity in ds4sd/SmolDocling-256M-preview 1 day ago

Relicensing issues

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#37 opened 20 days ago by
JLouisBiz
replied to onekq's post 2 days ago
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Ollama? Takes more VRAM! It requires GGUF files, but they are anyway created by llama.cpp software, it is slower than llama.cpp, using models not published on ollama website requires user to think about it, configure, unlike llama.cpp

No way.

replied to hannayukhymenko's post 2 days ago
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There is nothing to be proud of, you have based it on the proprietary model, disabling people to use it how they wish and want and totally disregarding free software principles. Why don't you take a good example from Microsoft IBM, Mistral or Allen AI, Qwen or DeepSeek companies which are distributing free software models?

Gemma License (danger) is not Free Software and is not Open Source
https://gnu.support/gnu-emacs/emacs-lisp/Gemma-License-danger-is-not-Free-Software-and-is-not-Open-Source.html

The Gemma Terms of Use and Prohibited Use Policy govern the use, modification, and distribution of Google's Gemma machine learning model and its derivatives. While Gemma is available for public use, it does not conform to Free Software or Open Source principles as defined by the Free Software Foundation (FSF) or Open Source Initiative (OSI). The terms impose significant restrictions, including prohibited use cases (e.g., illegal, harmful, or malicious activities), requirements to enforce Google's use restrictions on downstream users, and limitations on redistribution and derived works. Additionally, the terms do not guarantee access to source code or the freedom to use the software for any purpose, and they include broad disclaimers of warranty and liability. As a result, Gemma is a proprietary model with limited permissions, rather than a truly free or open-source software offering.

What is Free Software? - GNU Project - Free Software Foundation
https://www.gnu.org/philosophy/free-sw.html

replied to AdinaY's post 2 days ago
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Totally fantastic, one of the best obviously. I hope it will run on a 30 90, 24 GB GPU.

replied to onekq's post 3 days ago
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What is hard when I already gave you the command which works well?