Results 31 to 40 of about 1,688,693 (190)
Fine-tuning GPT-3 for machine learning electronic and functional properties of organic molecules [PDF]
We evaluate the effectiveness of fine-tuning GPT-3 for the prediction of electronic and functional properties of organic molecules. Our findings show that fine-tuned GPT-3 can successfully identify and distinguish between chemically meaningful patterns ...
Ömer, Omar +5 more
core +1 more source
The fine art of fine-tuning: A structured review of advanced LLM fine-tuning techniques
Transformer-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
Analysis of fine-tuning measures in models with extended Higgs sectors
In the literature measures of fine-tuning have been discussed as one of the tools to assess the feasibility of beyond the Standard Model theories. In this paper we focus on two specific measures and investigate what kind of fine-tuning they actually ...
Daniël Boer +2 more
doaj +1 more source
Measuring the Instability of Fine-Tuning
Fine-tuning pre-trained language models on downstream tasks with varying random seeds has been shown to be unstable, especially on small datasets. Many previous studies have investigated this instability and proposed methods to mitigate it. However, most studies only used the standard deviation of performance scores (SD) as their measure, which is a ...
Yupei Du, Dong Nguyen 0002
openaire +5 more sources
Repeatability of Fine-Tuning Large Language Models Illustrated Using QLoRA
Large 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
doaj +1 more source
Remote sensing tuning: A survey
Large 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
Effective part-task training as evidence of distinct adaptive processes with different time scales. [PDF]
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
Exploring fine-tuning of the Next-to-Minimal Composite Higgs Model
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
Our universe appears to be fine-tuned. That is, it seems that of all the many ways we think universes could possibly be, very few of those ways are life-permitting. Some have supposed that this gives reason to think that God exists, and have, as a result,
Saward, Mark (3798571)
core +1 more source
God, Fine-Tuning, and the Problem of Old Evidence [PDF]
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

