Fine-tuning is a key technique that enables pre-trained large language models to adapt to specific domain tasks. Depending on user needs and resources, fine-tuning strategies can be categorized into ...

In a world where algorithms speak louder than words, customer loyalty is driven by predictive personalization, not just brand promises. Businesses must gather accurate, relevant, and high-quality data ...

Using biochemical markers such as estimated glomerular filtration rate (eGFR) and proteinuria improved precision, reaching ...

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, ...

Jamshedpur, The Jharkhand State Minority Commission on Tuesday sought a detailed report from the education department about the religious and linguistic schools of the state.

Objectives Structural MRI of the brain is routinely performed on patients referred to memory clinics; however, resulting ...

A dataset can be expanded or enhanced by adding altered or synthetic representations of the original data, a process known as data augmentation. Generative ...

This study presents domain-adapted language models for optoelectronics, enhancing NLP tasks like classification and literature retrieval with reduced resources.

Our knowledge of the structure and composition of genomes has progressed in pace with their sequencing. As was expected early on 1, TEs have been found in virtually all eukaryotic species investigated ...

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 ...