Results 51 to 60 of about 9,649,421 (248)

C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models

CoRR
Low-Rank Adaptation (LoRA) is an efficient fine-tuning method that has been extensively applied in areas such as natural language processing and computer vision. Existing LoRA fine-tuning approaches excel in static environments but struggle in dynamic learning due to reliance on multiple adapter modules, increasing overhead and complicating inference ...
Xin Zhang, Liang Bai 0001, Xian Yang 0001, Jiye Liang   +3 more
openaire   +2 more sources

Smart Parking Systems: A Review of Optimization Techniques and Technological Advances

Energy Science &Engineering, EarlyView.
This review highlights optimization techniques and recent technological advances in smart parking systems, emphasizing their role in enhancing efficiency, reducing congestion, and improving user experience. It provides insights into innovative approaches that shape the future of sustainable and intelligent urban mobility. ABSTRACT In heavily populated,
Amirhossein Khosravi Sarvenoee, Mohammad Kohzadipour, Majid Valizadeh, Mohammad Saeedi Kia, Milad Karimian, Mohammad Sharifirad   +5 more
wiley   +1 more source

Implementasi Attention-Based BiLSTM dengan LoRA Parameter Tuning untuk Analisis Sentimen Ulasan Destinasi Wisata

Techno.Com
Industri pariwisata merupakan salah satu sektor paling krusial dalam perekonomian Indonesia dan Bali, hal ini ditunjukkan oleh opini yang terdapat di media sosial dan situs pariwisata.
Tristan Bey Kusuma, I Made Widiartha, I Ketut Gede Suhartana, I Gusti Ngurah Anom Cahyadi Putra   +3 more
doaj   +1 more source

Harnessing the Potential of LLMs in Hospital Management: Insights Into Medical Data Inquiry

The International Journal of Health Planning and Management, EarlyView.
ABSTRACT Background Considering the rapid expansion of hospital operations and the increasing digitisation of medical data, there is a pressing need for efficient and intelligent methods to process and analyse large‐scale medical data. Methods We integrated the QLoRA algorithm with ChatGLM2‐6b, Llama2‐7b, and Llama2‐13b models, fine‐tuning them on a ...
Jiaxi Li, Yu Zhang, Jing Zhao, Shengyang He, Danni Li   +4 more
wiley   +1 more source

Working with goals in youth mental health and substance use service: A review of current practice guidelines and recommendations

JCPP Advances, EarlyView.
Abstract Background Working with goals is a critical yet often overlooked aspect of youth mental health and addictions care, with the potential to strengthen therapeutic relationships, support shared decision‐making, and improve outcomes. Despite its importance, there is no cohesive, equity‐centered guidance for working with youth on their goals.
Madison Nugent, Drew Burchell, Jill Chorney, Sharon Clark, Mick Cooper, Debbie Emberly, Danielle Impey, Jenna Jacob, Anam Khan, Jennifer Lane, Duncan Law, Rebecca Pillai Riddell, Lori Wozney   +12 more
wiley   +1 more source

Transfer Learning Menggunakan LoRA+ pada Llama 3.2 untuk Percakapan Bahasa Indonesia

Techno.Com
Penelitian ini mengeksplorasi penerapan dari metode Parameter-Efficient Finetuning (PEFT) Low-Rank Adaptation+ (LoRA+) pada transfer learning model Llama 3.2 1B, sebuah model bahasa besar.
Faiz Kautsar, Farhan Wicaksono, Abdan Hafidz, Diana Purwitasari, Nanik Suciati, Dini Adni Navastara, Ilham Gurat Adillion   +6 more
doaj   +1 more source

Structurally competent care for families facing the continuous traumatic stress of community violence and systemic racism

Journal of Traumatic Stress, EarlyView.
Abstract In racially and economically segregated communities, structural violence and chronic adversity perpetuate the risk for community violence and related trauma exposure. Despite widespread awareness of community violence, urban youth of color are among those least likely to have access to services that promote trauma recovery. When these youth do
Bradley C. Stolbach, Seeba Anam, Keyona Allen, Emma‐Lorraine Baaba Bart‐Plange, Royce Lee, Aashana Daru, Angel Boulware, Sonya Mathies Dinizulu   +7 more
wiley   +1 more source

LoRA-MoE Fine-Tuning for Improved Speech Recognition in People With Parkinson’s Disease

IEEE Access
Despite advances in automatic speech recognition (ASR) technology, its performance remains limited when processing dysarthric speech, which hinders people with dysarthria from accessing voice-based digital technologies. In this study, we propose LoRA-MoE,
Seojin Yoon, Ryul Kim, Sangmin Lee
doaj   +1 more source

Breathe, Eat, Talk: Three Essential Ingredients to Quality‐of‐Life Outcomes in Movement Disorders

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Breathing, eating, and talking (BET) impairments are common yet frequently underrecognized features of movement disorders. Deficits in respiration, swallowing, voice, and speech may emerge early in the course of a disease, adversely affecting safety, participation, and quality of life.
John Dean, Lena C. O’Flynn, Michelle Ciucci, Cynthia Fox, Jessica E. Huber, Supraja Anand, Maira Rozenfeld Olchik, Jibrin S. Usman, Adam P. Vogel, Bettina Aguiar, Diana Khasanova, Dharshini Manoharan, Lorraine Ramig, Angela Roberts, Federico Rodriguez‐Porcel, Kristina Simonyan, Julie M. Barkmeier‐Kraemer   +16 more
wiley   +1 more source

The Expressive Power of Low-Rank Adaptation [PDF]

Low-Rank Adaptation (LoRA), a parameter-efficient fine-tuning method that leverages low-rank adaptation of weight matrices, has emerged as a prevalent technique for fine-tuning pre-trained models such as large language models and diffusion models ...
Lee, Kangwook, Zeng, Yuchen
core   +1 more source