David Vos

@davidvos.bsky.social

Information retrieval, recommender systems and generative modelling. PhD Candidate at IRLab Amsterdam, supervised by Maarten de Rijke & Harrie Oosterhuis.

Logitech forgot to renew its server certificate, so now my mouse scrolls in the opposite direction, and I'm unable to move between windows. What a time to be alive.

Let’s collaborate on democratizing insights from tabular data in Amsterdam! ✨ PhD directions: 1) fundamental techniques for tabular foundation models, 2) reliable mechanisms for AI-powered tabular data analysis. Sharing w/ friends appreciated! ⬇️

ELLIS@ellis.eu · last yr.

🏹 Job alert: 2 fully-funded PhD Positions at Table Representation Learning Lab - @ellisamsterdam.bsky.social‬ 📍 Amsterdam 🇳🇱 📅 Apply by June 30 🔗 More info: https://bit.ly/4519pj1

I'll get straight to the point. We trained 2 new models. Like BERT, but modern. ModernBERT. Not some hypey GenAI thing, but a proper workhorse model, for retrieval, classification, etc. Real practical stuff. It's much faster, more accurate, longer context, and more useful. 🧵

Bild

I'm looking for an intern to introduce Sparse Embedding models to Sentence Transformers! If you're passionate about open source, interested in helping practitioners use your tools, and enjoy embedders/retrievers/rerankers, then I'd love to hear from you! Links with details and to apply in 🧵

Bild

I'm looking for a textbook to take me through fundamental ML concepts again. Not too applied, and preferably with a Deep Learning angle. Currently considering the new Deep Learning book by Bishop, but maybe my Bluesky following has different recommendations. Let me know :)