LILY Project
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Repositories
- LLY-HDC Public template
LLY-HDC uses hyperdimesnional computing and neurosymbolic AI to implement a high-performance AI model on quantum computers
- LLY-GLLM Public
LLY-GLLM is the precursor to the interpretative Large Language Model of the LILY Project and is designed to understand relationships between words. It is based on parameterized quantum gates.
- LLY-NN Public template
- LLY-GP Public
LLY-GP is an estimated Language Quantum Model that can infer relationships between words based on input terms.
- LLY-DML-V1 Public
LLY-DML is part of the LILY QML Project and is a Quantum Machine Learning initiative specifically designed for image recognition. It represents a specialized version of the LLY-DML model.
- LLY-DML Public
LLY-DML is part of the LILY project and is a Quantum Machine Learning model. It uses so-called L-Gates. These gates are Machine Learning gates that modify their state based on an input to map to a desired state of an input.
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- LLY-LLM Public
LLY-LLM is the Quantum Large Language Model of the LILY project and describes a model that can generate responses and represent complex relationships through training.
- .github Public
LILY is a project aimed at making Quantum Machine Learning accessible to the public, as well as developing new Quantum Machine Learning models. Eventually, all
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