Medprompt, a runtime steering strategy, demonstrates the potential to guide general-purpose LLMs to achieve cutting-edge performance in specialized domains such ...
Irish philosopher George Berkeley, best known for his theory of immaterialism, once said: “If a tree falls in a forest ...
Large language models (LLMs) have demonstrated exceptional capabilities in various applications, but their widespread adoption faces significant challenges. The main ...
Boston – At the eighth annual CSforALL Summit, VHS Learning has once again made a national CSforALL commitment to advance ...
Large language models (LLMs) are widely used in natural language tasks, from question answering to conversational ai. However, a persistent ...
Machine learning in membrane science:Machine learning significantly transforms the natural sciences, particularly cheminformatics and materials science, including membrane technology. This ...
Graph neural networks (GNNs) have emerged as powerful tools for capturing complex interactions in real-world entities and finding applications across ...
Integrating advanced predictive models into autonomous driving systems has become crucial to improve safety and efficiency. Camera-based video prediction emerges ...
To understand social interactions in complex, real-world environments, deep mental reasoning is necessary to infer the underlying mental states that ...
Many educators struggle to meet the needs of diverse learners. Success requires more than traditional teaching—it requires an integrated approach ...
