Computer Science, Digital Libraries
Author: LLama 2 7B Chat
Page 17/179
LLaMA-2, the next generation of LLaMA. Meta trained and released LLaMA-2 in three model sizes: 7, 13, and 70 billion parameters. The model architecture remains largely unchanged from that of LLaMA-1 models, but 40% more data was used to train the foundational models. The accompanying preprint also mentions a model with 34B parameters that might be released in the future upon satisfying safety targets.
Computer Science, Social and Information Networks
Whitening Residuals in Random Graphs: A Statistical Approach
Computer Science, Social and Information Networks
Identifying Opinion Leaders in a Telegram Network of Forwarded Messages
Computer Science, Machine Learning
Enriching Nearest Neighbor Classification with Cost-based Metrics
Determining Statistical Capacity in Perceptron Models
Computer Science, Cryptography and Security
Hyperledger Project and Decentralized Technology: A Comprehensive Guide
Computer Science, Human-Computer Interaction
Human-AI Interaction in Education: Exploring the Impact of Large Language Models
Mathematics, Numerical Analysis
Lifted Finite Element Methods for Compressible Fluid Dynamics
Computer Science, Machine Learning
Comparing Graph Reduction Methods for Improved Label Distribution Accuracy
Computer Science, Cryptography and Security
Watermarking Approaches for Intellectual Property Protection in Big Data
Computation and Language, Computer Science
Uncovering the Complexity of Text Semantics through Multimodal Deep Learning Models
Computer Science, Machine Learning
Guided Generation and Fine-Tuning LLMs to Mitigate Label Biases
Computer Science, Computer Vision and Pattern Recognition
Blind Image Quality Assessment: A Survey of Deep Learning-based Approaches
Voice Conversion Techniques: An Overview
Computer Science, Machine Learning
Privacy and Efficiency in Federated Learning: A Comprehensive Review
Double Logistic Regression Approach to Biased Positive-Unlabeled Data
Computer Science, Information Theory
Efficient Optimization Algorithms for Generalized Multi-Group Multicast Beamforming
Computer Science, Machine Learning
Adaptive Message Passing: Mitigating Oversmoothing and Oversquashing in Graph Neural Networks
Computer Science, Information Retrieval