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Port injection conversion, AN hose assembly tips, and dyno tuning at FiTech

In this video, we cover a full performance upgrade workflow, including a port injection conversion, essential AN hose assembly tips, and dyno tuning at FiTech for maximum power and reliability. You’ll ...
Drexel University

First-Year Application Instructions

Drexel takes into consideration a number of criteria when determining admission, including your high school performance, letters of recommendation, standardized test scores, and essay. Students are ...
Nature

Metaplasticity: tuning synapses and networks for plasticity

Synaptic plasticity, such as long-term potentiation (LTP) and long-term depression (LTD), must be tightly regulated to prevent saturation, which would impair learning. Metaplasticity mechanisms have ...
IEEE

Bi-Modality Individual-Aware Prompt Tuning for Visual-Language Model

Abstract: Prompt tuning is a valuable technique for adapting visual language models (VLMs) to different downstream tasks, such as domain generalization and learning from a few examples. Previous ...
GitHub

SIT: Fine-tuning Large Language Models with Sequential Instructions

This is the code to replicate the sequential instruction tuning experiments in the paper SIT: Fine-tuning Large Language Models with Sequential Instructions. [cite] cd LAVIS conda create -n seq_ins_vl ...
IEEE

Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction Tuning

Abstract: Visual instruction tuning (VIT) for large vision-language models (LVLMs) requires training on expansive datasets of image-instruction pairs, which can be costly. Recent efforts in VIT data ...
GitHub

GraphGPT: Graph Instruction Tuning for Large Language Models

Data Intelligence Lab@University of Hong Kong, Baidu Inc. This repository hosts the code, data and model weight of GraphGPT (SIGIR'24 full paper track). Due to compatibility issues, if you are using ...