Josh Gardner (@jpgard) 's Twitter Profile
Josh Gardner

@jpgard

research scientist, foundation modeling @apple

ID: 443221949

linkhttps://jpgard.github.io calendar_today21-12-2011 23:28:00

73 Tweet

388 Followers

337 Following

Daniel van Strien (@vanstriendaniel) 's Twitter Profile Photo

Does transfer learning work for tabular data? TabuLa-8B is a language model fine-tuned from Llama 3-8B for tabular prediction, trained using the TabLib corpus. Find the paper, model, and dataset in this Hugging Face Collection: huggingface.co/collections/ml…

Vaishaal Shankar (@vaishaal) 's Twitter Profile Photo

We have released our DCLM models on huggingface! To our knowledge these are by far the best performing truly open-source models (open data, open weight models, open training code) 1/5

Josh Gardner (@jpgard) 's Twitter Profile Photo

We will be presenting our work -- the SOTA fully-open few-shot tabular foundation model -- today at the #NeurIPS2024 poster session, 4:30-7:30 PST in East Exhibit Hall A-C, poster 3409. Come through to learn more!

Josh Gardner (@jpgard) 's Twitter Profile Photo

Excited to share an invited talk at the NeurIPS …ble-representation-learning.github.io workshop tmr (4:30pm PST) and hear from the other great speakers Gael Varoquaux 🦋 , Yasemin Altun, and Matei Zaharia . If you're into rows and columns it is guaranteed to be a fun time.

Nick Erickson (@innixma) 's Twitter Profile Photo

📢 We are excited to announce "#FMSD: 1st Workshop on Foundation Models for Structured Data" has been accepted to #ICML 2025! Call for Papers: icml-structured-fm-workshop.github.io/call-for-paper…

📢 We are excited to announce "#FMSD: 1st Workshop on Foundation Models for Structured Data" has been accepted to #ICML 2025! Call for Papers: icml-structured-fm-workshop.github.io/call-for-paper…
Mike A. Merrill (@mike_a_merrill) 's Twitter Profile Photo

Many agents (Claude Code, Codex CLI) interact with the terminal to do valuable tasks, but do they currently work well enough to deploy en masse? We’re excited to introduce Terminal-Bench: An evaluation environment and benchmark for AI agents on real-world terminal tasks. Tl;dr

Many agents (Claude Code, Codex CLI) interact with the terminal to do valuable tasks, but do they currently work well enough to deploy en masse? 

We’re excited to introduce Terminal-Bench: An evaluation environment and benchmark for AI agents on real-world terminal tasks. Tl;dr