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Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models
State-of-the-art neural language models can now be used to solve ad-hoc language tasks through zero-shot prompting without the need for supervised training.
GenNI: Human-AI Collaboration for Data-Backed Text Generation
These controls allow users to globally constrain model generations, without sacrificing the representation power of the deep learning models.
VICE: Visual Identification and Correction of Neural Circuit Errors
A connectivity graph of neurons at the resolution of single synapses provides scientists with a tool for understanding the nervous system in health and disease.
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