Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) fine-tuning are two common methods for post-training large models. While reinforcement learning fine-tuning has made significant progress ...
In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...
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Domain-Adaptive Language Models for Optoelectronics
This study presents domain-adapted language models for optoelectronics, enhancing NLP tasks like classification and ...
An AI-powered standard legal language framework could create a common foundation for legal communication that may restructure ...
The Classification Code of the International Paralympic Committee (IPC), inter alia, mandates the development of evidence-based systems of classification. This paper provides a scientific background ...
Two projects from the Arab World exemplify the potential of AI-driven approaches to disaster response and displacement monitoring.
6 School of Public Health, University of Sydney, Sydney, Australia 7 Australian Cricket team and Sydney Roosters Rugby League team, School of Public Health, University of Sydney, Australia 8 ...
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
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