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Found 3 papers, 1 papers with code
Institutional Platform for Secure Self-Service Large Language Model Exploration
This paper introduces a user-friendly platform developed by the University of Kentucky Center for Applied AI, designed to make large, customized language models (LLMs) more accessible.
Local Large Language Models for Complex Structured Medical Tasks
This paper introduces an approach that combines the language reasoning capabilities of large language models (LLMs) with the benefits of local training to tackle complex, domain-specific tasks.
Parallelized Interactive Machine Learning on Autonomous Vehicles
In this work, we use a human demonstration approach to speed up training for learning features and use the resulting pre-trained model to replace the neural network in the deep RL Deep Q-Network (DQN), followed by human interaction to further refine the model.
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