An LLM architecture utilizing a recurrent structure and multi-layer memory
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Updated
Nov 3, 2024 - Python
An LLM architecture utilizing a recurrent structure and multi-layer memory
Jetta-Reinforcement-Learning-Hybrid-LLM-Architecture
Visualize some important concepts related to LLM architectures.
PyTorch implementation of normalization-free LLMs investigating entropic behavior to find desirable activation functions
Codebase ideation (for better understanding in Django way) for LLM without using pre-trained models, with custom embeddings (TF-IDF or Word2Vec), FAISS for vector storage.
This repository is to communicate and promote the Dragon1 Open Standard for Architecture Modeling, with the Dragon1 Modeling Language. This repository will specify the modeling language and interchange file format, provide 100 example models and diagrams to help architects and designers with their tasks. https://www.dragon1.com
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