Summary of Db-llm: Accurate Dual-binarization For Efficient Llms, by Hong Chen et al.
DB-LLM: Accurate Dual-Binarization for Efficient LLMsby Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin…
Summary of Ransomware Detection Using Stacked Autoencoder For Feature Selection, by Mike Nkongolo and Mahmut Tokmak
Ransomware detection using stacked autoencoder for feature selectionby Mike Nkongolo, Mahmut TokmakFirst submitted to arxiv…
Summary of A Multispectral Automated Transfer Technique (matt) For Machine-driven Image Labeling Utilizing the Segment Anything Model (sam), by James E. Gallagher et al.
A Multispectral Automated Transfer Technique (MATT) for machine-driven image labeling utilizing the Segment Anything Model…
Summary of Improved Indoor Localization with Machine Learning Techniques For Iot Applications, by M.w.p. Maduranga
Improved Indoor Localization with Machine Learning Techniques for IoT applicationsby M.W.P. MadurangaFirst submitted to arxiv…
Summary of Neural Networks with (low-precision) Polynomial Approximations: New Insights and Techniques For Accuracy Improvement, by Chi Zhang et al.
Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvementby Chi Zhang,…
Summary of Daedra: a Language Model For Predicting Outcomes in Passive Pharmacovigilance Reporting, by Chris Von Csefalvay
DAEDRA: A language model for predicting outcomes in passive pharmacovigilance reportingby Chris von CsefalvayFirst submitted…
Summary of Any-precision Llm: Low-cost Deployment Of Multiple, Different-sized Llms, by Yeonhong Park et al.
Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMsby Yeonhong Park, Jake Hyun, SangLyul Cho, Bonggeun…
Summary of Exploring Precision and Recall to Assess the Quality and Diversity Of Llms, by Florian Le Bronnec et al.
Exploring Precision and Recall to assess the quality and diversity of LLMsby Florian Le Bronnec,…
Summary of Bitdelta: Your Fine-tune May Only Be Worth One Bit, by James Liu et al.
BitDelta: Your Fine-Tune May Only Be Worth One Bitby James Liu, Guangxuan Xiao, Kai Li,…
Summary of Quick: Quantization-aware Interleaving and Conflict-free Kernel For Efficient Llm Inference, by Taesu Kim et al.
QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inferenceby Taesu Kim, Jongho Lee, Daehyun…