Skip to main content
Ryan Orban

Ryan Orban

Subject
2 entries

Multi Task

Bookmarks

  1. Multitask Prompted Training Enables Zero-Shot Task Generalization

    T0 shows that training a language model on 2000+ diverse human-authored prompts across 170+ NLP tasks dramatically improves zero-shot generalization to unseen tasks. An 11B T0 model outperformed 175B GPT-3 zero-shot — proving prompt diversity during training matters more than raw scale for generalization.

  2. A Generalist Agent

    Presents Gato, a single transformer that acts as a multi-modal, multi-task, multi-embodiment generalist policy across 600+ tasks including Atari, robotic manipulation, image captioning, and dialogue using identical weights. Demonstrates that scaling language model principles to non-text domains produces surprisingly capable generalist behavior.

All bookmarks