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🧠 leverage advanced AI embeddings to perform multilingual zero-shot text classification. Whether you're dealing with unlabelled data or seeking to classify text against dynamic and user-defined labels, this library provides a seamless and efficient solution.
Novel framework for Zero-Shot Style Alignment in Text-to-Image generation, incorporating Multi-Modal Context-Awareness and Multi-Reference Style Alignment, using minimal attention sharing, ensuring consistent style transfer without fine-tuning.
A custom neural network architecture built using particle physics, where each particle acts as it's own individual "neuron" in the network; with their own distinct roles, variables, connections, and more. The underlying goal is to alleviate the need for fine-tuning, explore emergent behavior, and enable unique and autonomous artificial intelligence