Group Lima - Grasping Concept Spaces скачать в хорошем качестве

Group Lima - Grasping Concept Spaces

Client: Sam Henshall-West, JAID Adam Catley, Ben Yang, Jake Wright, Prateeti Saran, Wendy Cao, Sophie Chiang Today's most powerful machine learning models, including generative AI LLMs like ChatGPT, encode their knowledge as higher dimensional latent spaces. Vector-based concepts in that space can be clustered as regions on a 2D screen, for example using the t-SNE visualisation algorithm. Your task is to create a 3D version of t-SNE that is interactive, so users with VR headsets can literally “grasp” a concept, and manipulate it to explore, fine-tune, or adjust the machine learning model.