How can large language models and prompt engineering be leveraged in Computer Science education?: Systematic literature review

In recent years, significant progress has been made in the field of natural language processing (NLP) through the development of large language models (LLMs) like BERT and ChatGPT. These models have showcased remarkable abilities across a range of NLP tasks. However, effectively harnessing their potential requires meticulous prompt engineering...

Enter 'space' to test the AI: Responsive Architecture: The home to come

As artificial intelligence (AI) technology progressively integrates into daily life and domestic environments, it instigates a pressing inquiry: What new spatial implications can arise from the integration of artificially intelligent technologies within homes, and what role can these AI technologies play in reinforcing social interaction among...

Design exploration of quantitative performance and geometry typology for indoor arena based on self-organizing map and multi-layered perceptron neural network

During the early design process, simulations allow numeric assessment and 3D models allow visual inspection for qualitative criteria. However, exploring different design alternatives based on both is challenging. To support the design exploration of quantitative performance and geometry typology of various design alternatives during the early...