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Clelia (Astra) Bertelli PRO

as-cle-bert
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https://www.cleliasportfolio.xyz

AI & ML interests

Biology + Artificial Intelligence = โค๏ธ | AI for sustainable development, sustainable development for AI | Researching on Machine Learning Enhancement | I love automation for everyday things | Blogger | Open Source

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posted an update about 12 hours ago
Are you using Obsidian to write your notes? If the answer is yes, then this post might be for you!โœ… I recently created ๐จ๐›๐ฌ๐ข๐๐ข๐š๐ง-๐๐ข๐ ๐ž๐ฌ๐ญ, a Google Gemini-powered application that gives you feedback on style and contents of the documents you have been working on๐Ÿง  Repo ๐Ÿ‘‰ https://github.com/AstraBert/obsidian-digest PyPi Package ๐Ÿ‘‰ https://pypi.org/project/obsidian-digest/ The app is available as: - ๐œ๐จ๐ฆ๐ฆ๐š๐ง๐-๐ฅ๐ข๐ง๐ž ๐ญ๐จ๐จ๐ฅ: install it as a python package with ๐—ฝ๐—ถ๐—ฝ, and execute it from terminal anytime!๐Ÿ“ฆ -๐ƒ๐ข๐ฌ๐œ๐จ๐ซ๐ ๐๐จ๐ญ ๐›๐ฎ๐ข๐ฅ๐ญ ๐Ÿ๐ซ๐จ๐ฆ ๐ฌ๐จ๐ฎ๐ซ๐œ๐ž ๐œ๐จ๐๐ž: clone the GitHub repo, install the needed dependencies through ๐—ฐ๐—ผ๐—ป๐—ฑ๐—ฎ, and run the bot: you will get hourly messages with suggestions and considerations about your activity on Obsidian in the previous hour๐Ÿค– - ๐ƒ๐ข๐ฌ๐œ๐จ๐ซ๐ ๐๐จ๐ญ ๐๐ž๐ฉ๐ฅ๐จ๐ฒ๐ž๐ ๐ฅ๐จ๐œ๐š๐ฅ๐ฅ๐ฒ ๐ฐ๐ข๐ญ๐ก ๐๐จ๐œ๐ค๐ž๐ซ ๐œ๐จ๐ฆ๐ฉ๐จ๐ฌ๐ž: clone the GitHub repo and launch ๐—ฑ๐—ผ๐—ฐ๐—ธ๐—ฒ๐—ฟ ๐—ฐ๐—ผ๐—บ๐—ฝ๐—ผ๐˜€๐—ฒ ๐˜‚๐—ฝ. Docker builds an image on the fly with all the needed dependencies and scripts, and runs them. You'll have the same functionalities as the ones from source code, but with a way easier deployment process๐Ÿ‹ Go check out the GitHub repo for more info ๐Ÿ‘‰ https://github.com/AstraBert/obsidian-digest Have fun!โœจ
replied to their post 2 days ago
Hi HF Community!๐Ÿค— As my last 2024 contribution, I decided to write an article about a Competitive Debate Championship simulation I ran with 5 LLMs as competitors and 2 as judges: https://huggingface.co/blog/as-cle-bert/debate-championship-for-llms The article covers code, analyses and results, and you can find everything to reproduce this tournament in the GitHub repo ๐Ÿ‘‰ https://github.com/AstraBert/DebateLLM-Championship I also released a dataset related to the data (motions, arguments, topics, winners...) collected during the tournament ๐Ÿ‘‰ https://huggingface.co/datasets/as-cle-bert/DebateLLMs Happy reading and happy new yeAIr!๐ŸŽ‰
replied to their post 2 days ago
๐ŸŽ‰๐„๐š๐ซ๐ฅ๐ฒ ๐๐ž๐ฐ ๐˜๐ž๐š๐ซ ๐ซ๐ž๐ฅ๐ž๐š๐ฌ๐ž๐ฌ๐ŸŽ‰ Hi HuggingFacers๐Ÿค—, I decided to ship early this year, and here's what I came up with: ๐๐๐Ÿ๐ˆ๐ญ๐ƒ๐จ๐ฐ๐ง (https://github.com/AstraBert/PdfItDown) - If you're like me, and you have all your RAG pipeline optimized for PDFs, but not for other data formats, here is your solution! With PdfItDown, you can convert Word documents, presentations, HTML pages, markdown sheets and (why not?) CSVs and XMLs in PDF format, for seamless integration with your RAG pipelines. Built upon MarkItDown by Microsoft GitHub Repo ๐Ÿ‘‰ https://github.com/AstraBert/PdfItDown PyPi Package ๐Ÿ‘‰ https://pypi.org/project/pdfitdown/ ๐’๐ž๐ง๐“๐ซ๐„๐ฏ ๐ฏ๐Ÿ.๐ŸŽ.๐ŸŽ (https://github.com/AstraBert/SenTrEv/tree/v1.0.0) - If you need to evaluate the ๐—ฟ๐—ฒ๐˜๐—ฟ๐—ถ๐—ฒ๐˜ƒ๐—ฎ๐—น performance of your ๐˜๐—ฒ๐˜…๐˜ ๐—ฒ๐—บ๐—ฏ๐—ฒ๐—ฑ๐—ฑ๐—ถ๐—ป๐—ด models, I have good news for you๐Ÿฅณ๐Ÿฅณ The new release for ๐’๐ž๐ง๐“๐ซ๐„๐ฏ now supports ๐—ฑ๐—ฒ๐—ป๐˜€๐—ฒ and ๐˜€๐—ฝ๐—ฎ๐—ฟ๐˜€๐—ฒ retrieval (thanks to FastEmbed by Qdrant) with ๐˜๐—ฒ๐˜…๐˜-๐—ฏ๐—ฎ๐˜€๐—ฒ๐—ฑ ๐—ณ๐—ถ๐—น๐—ฒ ๐—ณ๐—ผ๐—ฟ๐—บ๐—ฎ๐˜๐˜€ (.docx, .pptx, .csv, .html, .xml, .md, .pdf) and new ๐—ฟ๐—ฒ๐—น๐—ฒ๐˜ƒ๐—ฎ๐—ป๐—ฐ๐—ฒ ๐—บ๐—ฒ๐˜๐—ฟ๐—ถ๐—ฐ๐˜€! GitHub repo ๐Ÿ‘‰ https://github.com/AstraBert/SenTrEv Release Notes ๐Ÿ‘‰ https://github.com/AstraBert/SenTrEv/releases/tag/v1.0.0 PyPi Package ๐Ÿ‘‰ https://pypi.org/project/sentrev/ Happy New Year and have fun!๐Ÿฅ‚
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_Repetita iuvant_: how to improve AI code generation

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Visualize proteins on Hugging Face Spaces

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