The study of collective decision making in biological and artificial systems addresses critical challenges to understanding how groups achieve consensus ...
The use of large language models (LLM) has revolutionized artificial intelligence applications, enabling advances in natural language processing tasks such ...
This paper was accepted into the Efficient Natural Speech and Language Processing (ENLSP) Workshop at NeurIPS 2024. Large language models ...
Adam is widely used in deep learning as an adaptive optimization algorithm, but it has difficulty with convergence unless the ...
Machine learning, particularly the training of large basic models, relies heavily on the diversity and quality of data. These models, ...
Model fusion, particularly within the realm of large language models (LLM), presents an intriguing challenge that addresses the growing demand ...
Classifier-free guidance, or CFG, is an important factor in improving imaging quality and ensuring that the output closely matches the ...
The field of large language models (LLMs) has evolved rapidly, particularly in specialized domains such as medicine, where accuracy and ...
Xbox continues to impress with its accessibility accommodations for gamers with disabilities. Along with some updates to the Xbox console ...
In the digital age, personalized experiences have become essential. Whether in customer support, health diagnostics, or content recommendations, people expect ...
