Summary of Aigc For Industrial Time Series: From Deep Generative Models to Large Generative Models, by Lei Ren et al.
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Modelsby Lei Ren,…
Summary of From Galore to Welore: How Low-rank Weights Non-uniformly Emerge From Low-rank Gradients, by Ajay Jaiswal et al.
From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradientsby Ajay Jaiswal, Lu…
Summary of Generating In-store Customer Journeys From Scratch with Gpt Architectures, by Taizo Horikomi (1) et al.
Generating In-store Customer Journeys from Scratch with GPT Architecturesby Taizo Horikomi, Takayuki MizunoFirst submitted to…
Summary of Dlo: Dynamic Layer Operation For Efficient Vertical Scaling Of Llms, by Zhen Tan et al.
DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMsby Zhen Tan, Daize Dong, Xinyu…
Summary of A Survey on Lora Of Large Language Models, by Yuren Mao et al.
A Survey on LoRA of Large Language Modelsby Yuren Mao, Yuhang Ge, Yijiang Fan, Wenyi…
Summary of Q-sparse: All Large Language Models Can Be Fully Sparsely-activated, by Hongyu Wang et al.
Q-Sparse: All Large Language Models can be Fully Sparsely-Activatedby Hongyu Wang, Shuming Ma, Ruiping Wang,…
Summary of Panza: Design and Analysis Of a Fully-local Personalized Text Writing Assistant, by Armand Nicolicioiu et al.
Panza: Design and Analysis of a Fully-Local Personalized Text Writing Assistantby Armand Nicolicioiu, Eugenia Iofinova,…
Summary of Evaluating the Efficacy Of Foundational Models: Advancing Benchmarking Practices to Enhance Fine-tuning Decision-making, by Oluyemi Enoch Amujo and Shanchieh Jay Yang
Evaluating the Efficacy of Foundational Models: Advancing Benchmarking Practices to Enhance Fine-Tuning Decision-Makingby Oluyemi Enoch…
Summary of Foundational Autoraters: Taming Large Language Models For Better Automatic Evaluation, by Tu Vu et al.
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluationby Tu Vu, Kalpesh Krishna, Salaheddin…
Summary of Data-guided Physics-informed Neural Networks For Solving Inverse Problems in Partial Differential Equations, by Wei Zhou et al.
Data-Guided Physics-Informed Neural Networks for Solving Inverse Problems in Partial Differential Equationsby Wei Zhou, Y.F.…