GRV
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About
GRV is a platform created by Andreas Grivas, a final year PhD student in Edinburgh, centered on research that dives into the geometric constraints in neural networks. The tool emphasizes improving the reliability, interpretability, and efficiency of AI models, particularly for outputs in Large Language Models (LLMs) and Clinical NLP models that can be deemed 'unargmaxable'. It offers interactive visualizations and insights into various research outputs and papers, while also facilitating user engagement through a collaborative interface. The platform serves as a resource for those interested in machine learning and deep neural networks.
Platform
Features
• interactive visualizations
• insights on unargmaxable outputs
• focus on neural network models
• research publications access
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