Timo Schick (@timo_schick) / X
Por um escritor misterioso
Descrição
GitHub - timoschick/form-context-model: This repository contains the code for the Form-Context Model and its Attentive Mimicking variant.
Timo Schick on X: This is achieved by combining PET ( with pretrained ALBERT. Key factors for strong performance include concurrently using multiple task descriptions and using labeled data to perform actual
Timo Schick (@timo_schick) / X
Naila Murray (@NailaMurray) / X
Ves Stoyanov (@vesko_st) / X
Timo Schick on X: 🎉 New paper 🎉 We show that prompt-based learners like PET excel in true few-shot settings (@EthanJPerez) if correctly configured: On @oughtinc's RAFT, PET performs close to non-expert
Andreas Hanselowski (@AndreHanselow) / X
timo tons of chicks｜TikTok Search
Timo Schick (@timo_schick) / X
Timo Schick on X: 🎉 New paper 🎉 Introducing the Toolformer, a language model that teaches itself to use various tools in a self-supervised way. This significantly improves zero-shot performance and enables
Shabnam Rashtchi (@ShabnamRashtchi) / X
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