Author: LLama 2 7B Chat
Page 108/179
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, Information Theory
Truncation-Based Updating Approach Enhances Convergence of LTAT in Non-Orthogonal Multiple Access
Artificial Intelligence, Computer Science
Understanding the Impact of Explainable AI on Decision-Making
Electrical Engineering and Systems Science, Image and Video Processing
Efficient Data Sampling with Diffusion Models
Electrical Engineering and Systems Science, Image and Video Processing
Fundamental Algorithms for Scientific Computing in Python: A Review of SciPy 1.0
Computer Science, Machine Learning
Empirical Study of Uncertainty-Based Pessimism in Reinforcement Learning
Computer Science, Computer Vision and Pattern Recognition
Generating Human Motion From Textual Descriptions: A Survey
Computational Complexity, Computer Science
Redefining P vs NP: A Critique of Czerwinski’s P = NP Relative to a P-Complete Oracle
Computer Science, Computer Vision and Pattern Recognition
Reimagining the Future of Work: How Automation, AI, and Remote Collaboration Are Revolutionizing Industries
Leveraging Uncertainty-Aware Pseudo Labels for Sparse Semantic Segmentation
Computer Science, Computer Vision and Pattern Recognition
Assessing Caption Accuracy through Consensus and Semantic Evaluation
Computer Science, Machine Learning
Exploring the Privacy-Fairness Tradeoff in Machine Learning
Computer Science, Computer Vision and Pattern Recognition
Unifying Image Reconstruction and Captioning with Diffusion Models
Computer Science, Distributed, Parallel, and Cluster Computing
Centralized Data Averaging in PTB-FLA: A Minimal Context Analysis
Computer Science, Machine Learning
Improving Climate Change Mitigation through Multivariate Machine Learning Models
Computer Science, Computer Science and Game Theory
Truthful Aggregation of Budget Proposals: A Game-Theoretic Approach
Computer Science, Networking and Internet Architecture
Minimizing Submodular Costs in Combinatorial Optimization Problems
Artificial Intelligence, Computer Science
Analyzing Genetic Variants: The Key to Preventing and Treating Diseases
Computer Science, Computer Vision and Pattern Recognition
Text-Guided Diffusion Models for Image Generation and Editing
Computer Science, Information Theory