Results 21 to 30 of about 5,833,461 (242)
DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning [PDF]
Prompt tuning (PT), where a small amount of trainable soft (continuous) prompt vectors is affixed to the input of language models (LM), has shown promising results across various tasks and models for parameter-efficient fine-tuning (PEFT).
Lipani, Aldo, Shi, Zhengxiang
core +4 more sources
BMJ Digital Health & AIObjective To develop and evaluate a high-accuracy ECG image interpretation model using parameter-efficient Low-Rank Adaptation (LoRA) fine-tuning with the multimodal LLaMA V.3.2 model.Methods and analysis We fine-tuned the multimodal LLaMA V.3.2 model ...
Nandakishor Mukkunnoth +3 more
doaj +1 more source
Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-Tuning [PDF]
, 2022 A recent family of techniques, dubbed lightweight fine-tuning methods, facilitates parameter-efficient transfer learning by updating only a small set of additional parameters while keeping the parameters of the pretrained language model frozen.
Gheini, Mozhdeh +2 more
core +1 more source
Smaller is better: nanobodies meet NMR
FEBS Letters, EarlyView.Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley +1 more source
Membrane composition and thermodynamic identity as boundaries of life for synthetic cell research
FEBS Letters, EarlyView.What makes a cell a cell? The boundary of a living cell is not just a wall. Read as a Markov blanket, the membrane separates internal from external states, generating identity and non‐equilibrium order. Can this identity be rebuilt from scratch in a synthetic cell?
Caterina Presutti, Bert Poolman
wiley +1 more source
Enhancing LoRA Model Serving Capacity via Adaptive Operator Scheduling for Multi-Tenancy on GPU
IEEE AccessLow-Rank Adaptation (LoRA) has garnered increasing attention for effectively fine-tuning large language models (LLMs) with limited resources. Nonetheless, conventional approaches that cater to multiple LoRA models independently lead to redundant ...
Lingnan Xia, Hua Ma
doaj +1 more source
Parameter-efficient fine-tuning in reading comprehension
, 2023 Question Answering is an important task in Natural Language Processing. There are different approaches to answering questions, such as using the knowledge learned during pre-training or extracting an answer from a given context, which is commonly known
Abdumalikov, Rustam
core
Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer
Molecular Oncology, EarlyView.Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley +1 more source
SAM-FGF: SAM fine grained fine-tuning for ophthalmic image segmentation
Journal of King Saud University: Computer and Information SciencesWith increasing reliance on multi-structural analysis in ophthalmic diagnosis and treatment, accurate segmentation of ocular structures and lesions is essential for effective clinical decision-making. Multi-modal imaging, such as color fundus photography
Yuancong Liang +7 more
doaj +1 more source
God, Fine-Tuning, and the Problem of Old Evidence [PDF]
, 2004 The fundamental constants that are involved in the laws of physics which describe our universe are finely-tuned for life, in the sense that if some of the constants had slightly different values life could not exist.
Bradley Monton, Monton, Bradley
core