LOTTERY RANK-PRUNING ADAPTATION PARAMETER EFFICIENT FINE-TUNING

Lottery Rank-Pruning Adaptation Parameter Efficient Fine-Tuning

Recent studies on parameter-efficient fine-tuning (PEFT) have introduced effective and efficient methods for fine-tuning large language models (LLMs) on downstream tasks using fewer parameters than required by full fine-tuning.Low-rank decomposition adaptation (LoRA) significantly reduces the parameter count to 0.03% of that in full fine-tuning, ma

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Black hole with quantum potential

In this work, we investigate black hole (BH) physics in the context 30hh bikini of quantum corrections.These quantum corrections were introduced recently by replacing classical geodesics with quantal (Bohmian) trajectories and hence form a quantum Raychaudhuri equation (QRE).From the QRE, we derive a modified Schwarzschild metric, and use that metr

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Urban Planning Dealing with Change and Infrastructure

This paper deals with urban planning and change processes potentially impacting local infrastructure.The overarching theoretical frame is social-ecological resilience thinking and its potential application to as well iphone 13 price ohio as implications for urban land-use development.The paper draws its main attention on if this concept can be of u

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Generation characteristics of internal solitary waves in the Northern Andaman sea based on MODIS observations and numerical simulations

The generation characteristics of internal solitary waves (ISWs) in the northern Andaman Sea are studied using remote sensing data and numerical simulations.The dataset comprises 230 images taken by the Moderate Resolution Imaging Spectroradiometer (MODIS) from 2020 to 2023, which reveal two distinct propagation directions of ISWs: southeastward (t

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