Results 41 to 50 of about 2,403,325 (304)
The fine art of fine-tuning: A structured review of advanced LLM fine-tuning techniques
Natural Language Processing JournalTransformer-based models have consistently demonstrated superior accuracy compared to various traditional models across a range of downstream tasks.
Samar Pratap +5 more
doaj +1 more source
Effective part-task training as evidence of distinct adaptive processes with different time scales. [PDF]
PLoS ONE, 2013 For some types of visuo-motor transformations like large visuo-motor rotations or the complex transformation of a sliding first-order lever, distinct adaptive processes have been hypothesized that produce a rapid, discrete approximation of the ...
Sandra Sülzenbrück, Herbert Heuer
doaj +1 more source
Repeatability of Fine-Tuning Large Language Models Illustrated Using QLoRA
IEEE AccessLarge language models (LLMs) have shown progress and promise in diverse applications ranging from the medical field to chat bots. Developing LLMs requires a large corpus of data and significant computation resources to achieve efficient learning ...
Saeed S. Alahmari +3 more
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P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks
Annual Meeting of the Association for Computational Linguistics, 2022 Prompt tuning, which only tunes continuous prompts with a frozen language model, substantially reduces per-task storage and memory usage at training. However, in the context of NLU, prior work reveals that prompt tuning does not perform well for normal ...
Xiao Liu +6 more
semanticscholar +1 more source
Remote sensing tuning: A survey
Computational Visual MediaLarge models have accelerated the development of intelligent interpretation in remote sensing. Many remote sensing foundation models (RSFM) have emerged in recent years, sparking a new wave of deep learning in this field.
Dongshuo Yin +6 more
doaj +1 more source
Exploring fine-tuning of the Next-to-Minimal Composite Higgs Model
Journal of High Energy Physics, 2019 We perform a detailed study of the fine-tuning of the two-site, 4D, Next-to-Minimal Composite Higgs Model (NMCHM), based on the global symmetry breaking pattern SO(6) → SO(5).
Daniel Murnane +2 more
doaj +1 more source
FEBS Letters, EarlyView.We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation
FEBS Letters, EarlyView.Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz +11 more
wiley +1 more source
Developmental Cognitive Neuroscience, 2023 N1 tuning to words, a neural marker of visual word recognition, develops by an interaction between age and ability. The development of N1 tuning to a second learnt print is unclear.
Shuting Huo +4 more
doaj +1 more source