Computer Science, Distributed, Parallel, and Cluster Computing
Author: LLama 2 7B Chat
Page 84/179
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, Machine Learning
Unveiling Hidden Patterns: A Comprehensive Analysis of Histogram-Based Methods for Neural Network Interpretability
Derivatives of Null
Numerical Solutions for a Model of Rival Gang Interaction in a City
Numerical Analysis of Sparse Graphs: Sharp Error Estimates and Homogenization
Computer Science, Machine Learning
Impact of Biased Non-Response on Active Learning: A New Correction Algorithm
Computational Physics, Physics
Enhancing Scientific Data Quality through Diffusion-Based Methods
Computer Science, Cryptography and Security
Preventing Speculative Execution Attacks: A Comprehensive Review
Artificial Intelligence, Computer Science
Minimal Feature Removal for Sentiment Analysis: A Novel Approach
Computer Science, Distributed, Parallel, and Cluster Computing
Segmenting Large Data into Smaller Pieces with Task Segmentation
Computer Science, Cryptography and Security
Improving Efficiency and Security in Medical Device Systems through Novel Approaches
Computer Science, Computers and Society
Uncovering Ignorance: A Study on Autism and Robot Interaction
Computer Science, Computer Vision and Pattern Recognition
Improved Scene Captioning with End-to-End Fine-tuning and Modular Knowledge Transfer: A Comprehensive Study
Computer Science, Machine Learning
Fast and Accurate Sparse GP Inference with Efficient Inducing Points
Machine Learning for Prediction and Classification: Navigating Challenges with Approximation and Exact Methods
Computer Science, Computer Vision and Pattern Recognition
Compressing Deep Learning Models for Energy-Efficient Inference
Computer Science, Computer Vision and Pattern Recognition
Enhancing Segmentation Accuracy through Manual Labeling and Iterative Training
Electrical Engineering and Systems Science, Systems and Control
Exploring the Role of Robotics in Non-Invasive Brain Stimulation
Computer Science, Computer Science and Game Theory
Multiwinner Voting: A New Challenge for Social Choice Theory
Computer Science, Software Engineering