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Visually compare fill-in-the-blank LLM prompts to uncover learned biases and associations!

Home Page: https://arxiv.org/abs/2403.04758

License: MIT License

Python 8.75% HTML 8.44% JavaScript 75.77% CSS 7.03%
ethical-ai interpretability language-model prompting responsible-ai transformers visual-analytics

knowledgevis's Introduction

Hey, I'm Adam! ๐Ÿ‘‹

๐Ÿ’ป I design and develop visual analytics systems to help people understand complex data, mitigate biases, and make decisions. My tools have been used by researchers, scientists and engineers for analyzing and interpreting large language models (LLMs) ๐Ÿค–, guiding deep ocean expeditions ๐ŸŒŠ and enabling scientist-guided spacecraft autonomy ๐Ÿš€

๐ŸŒฑ I'm currently a Human-Centered Computing PhD student at Georgia Tech. I work with Alex Endert as a member of the Visual Analytics Lab.

๐Ÿ’ž๏ธ I've collaborated with incredible designers, engineers, scientists, and researchers at Vanderbilt, Georgia State, Tufts, Emory, Caltech, ArtCenter, Monterey Bay Aquarium Research Institute (MBARI), and NASA Jet Propulsion Laboratory (JPL).

| ๐Ÿชช My Website | ๐Ÿ“œ Google Scholar | ๐Ÿค LinkedIn | ๐Ÿฆ Twitter |

knowledgevis's People

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knowledgevis's Issues

Applied to local LLM like llama

Dear developer,

First of all, thank you for sharing your work. I would like to inquire whether KnowledgeVIS can load a local llama model. If so, what modifications are necessary?

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