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In Experimentation

VS Exchanger

Converting a vector into another vector and experimenting with what is possible

VS Exchanger

This product/project takes mainly the mini vec2vec paper from autumn 2025 and replicates the results to figure out if these results can be moved into production and produce results that can be used by firms. It also explores image-to-image transformations and what else there is to experiment in that realm.

What it's about

This project started as a fascination for the space and what is possible in the space, it is a mixture of learning the space of vectors, creating visualizations of various vector spaces and exploring what is possible. Plus the idea to create simulations and productionalizations of AI papers and what implications they have in the real world.

The Vision

Better understanding the implications of the ability to create vec2vec adapters by purely linear transformations and what these implications are for cybersecurity, embedding spaces, and the overall landscape of AI/ML in that field of translations and exchanges between and among vectors.

Best For

Researchers, innovators, inventors, ML/AI practitioners, curious cats.

Tags

AI/ML
Latent Space
Vector Space
Embeddings
Mathematics
Experimentation
AI Research
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