LangTech Veu

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AI & ML interests

Resources under this organization are unofficial and currently under development. Please be aware of usage limitations and additional information.

igorktech 
posted an update 16 days ago
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📌 9,000 papers a day, 9 in 10 written by teams, yet literature review is still a solo job.

At the Nebius Build Week Hackathon (GTC Berlin) we built Pinned: a shared crime board for scientific literature. User can drop your seed papers onto a live multiplayer canvas, and an AI detective hunts down the leads your search missed. It pins each one next to your seeds with an exact quotes. Highlight passages, add sticky notes, ask questions: your team and the agent work the case together on one board!

Inside:
🧠 NVIDIA Nemotron on Nebius Token Factory (via Google ADK)
🔎 Tavily, PubMed, OpenAlex & Semantic Scholar via MCP, with exact-quote verification
🎨 Multiplayer tldraw canvas + Canvas MCP, so Claude or Cursor can join the board

We're competing in the Hugging Face Challenge: the most-liked Space by Sunday, Oct 25 wins. Try the board, watch the 2-minute pitch, and hit ❤️ in the space if you like it
Check it here nebius-build-week/pinned


crodri 
posted an update almost 2 years ago
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At the Language Technologies Unit of the Barcelona Supercomputing Center, we are developing State of the Art Large Language and Voice Models through various national and international projects. It is an exciting time to be working in generative AI!
We are looking for bright and motivated individuals to help us achieve ambitious goals. Our latest opening for the Innovation group that develops powerful and socially useful applications for AI technology might be for you. Check it out here:
https://www.bsc.es/join-us/job-opportunities/3025lsltre2
crodri 
posted an update over 2 years ago
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Multilingual RAG optimized models and datasets available from the Language Technologies Unit @ the Barcelona Supercomputing Unit
We are releasing new RAG-optimized multilingual models and dataset, within the AINA project contributions:

projecte-aina/FlorRAG , based on out Bloom Flor6.3b model, capable of RAG in Catalan, Spanish and English

projecte-aina/RAG_Multilingual , a 56K+ instructional dataset with human-like answers created from kernel-of-truth of extractive datasets using a Mixtral8x7b model