Summary of Power Scheduler: a Batch Size and Token Number Agnostic Learning Rate Scheduler, by Yikang Shen et al.
Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Schedulerby Yikang Shen, Matthew…
Summary of The Ultimate Guide to Fine-tuning Llms From Basics to Breakthroughs: An Exhaustive Review Of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities, by Venkatesh Balavadhani Parthasarathy et al.
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies,…
Summary of Linear-time One-class Classification with Repeated Element-wise Folding, by Jenni Raitoharju
Linear-time One-Class Classification with Repeated Element-wise Foldingby Jenni RaitoharjuFirst submitted to arxiv on: 21 Aug…
Summary of Kolmogorov Arnold Networks in Fraud Detection: Bridging the Gap Between Theory and Practice, by Yang Lu and Felix Zhan
Kolmogorov Arnold Networks in Fraud Detection: Bridging the Gap Between Theory and Practiceby Yang Lu,…
Summary of A Deep Q-network Based on Radial Basis Functions For Multi-echelon Inventory Management, by Liqiang Cheng et al.
A Deep Q-Network Based on Radial Basis Functions for Multi-Echelon Inventory Managementby Liqiang Cheng, Jun…