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6 days ago · A survey, which reviews threats and protective measures on privacy and security concerns with LLMs in five stages: pre-training/fine-tuning/RAG system/deploying ...
10 hours ago · For example, the pre- training of LLaMA-3 takes approximately 54 days with 16K. H100-80GB GPU on Meta's production cluster [9]. LLM training highlights ...
6 days ago · A Model-Based Time-Frequency. Estimation Method for Passive. Automotive FMCW ... Between OFDM Radars Using Pre-. Assigned Pilot Signal and Strong. Target ...
9 hours ago · ... time-series data using theoretical network modeling. We propose an entirely new methodology by identifying them using community-based analysis. Thus, we aim ...
2 days ago · Active Internet-Drafts. This page lists all active Internet-Drafts, grouped by responsible group. For normal use, it is recommended to use the search page.
Missing: bert: bert
4 days ago · ... Model for Automatic Multicast Tunneling" by Yisong Liu, Changwang Lin, Zheng Zhang, Xuesong Geng, Vinod Nagaraj 2024-07-24 draft-ietf-nmop-yang-message ...
2 days ago · Anomaly Detection; ANOVA; Automatic Number Plate Recognition (ANPR); Anritsu ... Time Series Forecasting; Data Augmentation; Natural Language Understanding ...
4 days ago · Fraud detection: First, train a model on a small set of labeled ... These models are pre-trained, meaning they undergo extensive training on a ...
2 days ago · Anomaly Detection; ANOVA; Automatic Number Plate Recognition (ANPR); Anritsu ... Time Series Forecasting; Data Augmentation; Natural Language Understanding ...
19 hours ago · ... model that can be used to simulate a time series representing the vertical oscillation of a wave energy device at a location on the sea surface. The ...