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 ...

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 ...

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

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.

4 British Athletics Medical Team, British Athletics National Performance Centre, LoughboroughUniversity, Loughborough, UK Correspondence to Dr Noel Pollock, British Athletics Medical Team, Level 1 ...

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 ...

Coding in sports medicine generally uses sports-specific coding systems rather than the International Classification of Diseases (ICD), because of superior applicability to the profile of injury and ...