decrypt5d
Beyond Transformers: New AI Architectures Could Revolutionize Large Language Models
Two new neural network designs promise to make AI models more adaptable and efficient, potentially changing how artificial ...
Graph machine learning model shows potential for predicting cancer genes
The World Health Organization reports a steady increase in cancer patients worldwide, marking it as a major health threat.
BioChatter: Making large language models accessible for biomedical research
Large language models (LLMs) have transformed how many of us work, from supporting content creation and coding to improving ...
GitHub3d
Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection
In this paper, we propose MAGNET, a Meta-path based Attentional Graph learning model for code vulNErability deTection ... Furthermore, we propose a multi-level attentional graph neural network called ...
Scientific Research Publishing1d
A Dynamic Knowledge Base Updating Mechanism-Based Retrieval-Augmented Generation Framework for Intelligent Question-and-Answer Systems ()
In the context of power generation companies, vast amounts of specialized data and expert knowledge have been accumulated. However, challenges such as data silos and fragmented knowledge hinder the ...
GitHub5d
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow.
To train with default parameters on the tinyshakespeare corpus, run python train.py. To access all the parameters use python train.py --help.
trains1d
Model Railroader
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