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, ...

Are university admissions declining in Pakistan, or are we misreading a shift in students’ demand as a decline? Our conversations with faculty members and admissions teams at both public and private ...

When speaking to and surveying end-users about security tools and policies, a few themes frequently arise. One of them is ...

An AI-powered standard legal language framework could create a common foundation for legal communication that may restructure ...

Sales professional, trainer, and lecturer Dr. Senaka Wijesinghe officially launched his latest book How to Use NLP for Sales Success at a special ceremony held in Colombo.

Dr. JoDee Anderson, a Stanford-trained physician, is redefining aesthetic medicine through her top 1%–ranked med spa, Fresh ...

Overview: India’s data science market in 2025 is thriving, with strong demand across industries like e-commerce, healthcare, ...

Over the past three years, NLP has catalysed reforms across the logistics ecosystem, driving improvements in digital integration, skill development, policy alignment, and infrastructure planning.

The intersection of artificial intelligence governance and practical machine learning implementation represents one of the most critical challenges facing modern enterprises. This reality became ...

Ministry of Commerce and Industry, commemorates the third anniversary of the National Logistics Policy (NLP), launched by the ...

With Apertus, Swiss researchers have released an open-source and transparent large language model that cannot catch up with ...