Computer Science, Computer Vision and Pattern Recognition
Author: LLama 2 7B Chat
Page 99/179
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, Data Structures and Algorithms
Exact Graph Edit Distance Algorithms for Solving Pattern Recognition Problems
Computer Science, Computer Vision and Pattern Recognition
Enhancing Iris Recognition with Limited Data Using Geometric and Color Adjustments
Computer Science, Distributed, Parallel, and Cluster Computing
Optimizing Resource Utilization in Distributed Systems with Deep Reinforcement Learning
Computation and Language, Computer Science
Managing Language Models with Meaningful Suffixes: A Comprehensive Review
Audio and Speech Processing, Electrical Engineering and Systems Science
Improved Audio-Visual Speech Distortion Detection with Deep Learning Models
Artificial Intelligence, Computer Science
Automated DSM Generation: Evaluating the Impact of Input Data and ChatGPT
Computer Science, Cryptography and Security
Federated Learning for UAV Networks: A Privacy-Preserving Approach
Computer Science, Computer Vision and Pattern Recognition
Polarization in Computer Vision: Unlocking Transparent Object Segmentation
Computer Science, Information Theory
Reverse Hypercontractivity and Its Applications in Information Theory
Computer Science, Machine Learning
Contrastive Learning for Sentence Embeddings: A Comprehensive Review
Computer Science, Computer Vision and Pattern Recognition
NeRF-based Video Stylization: Efficient and Consistent Style Transfer via Feature Space Manipulation
Computer Science, Computer Vision and Pattern Recognition
Improving Image Generation with Better Captions
Computer Science, Computer Vision and Pattern Recognition
Training SimCopilot with ChatGPT and Llama: Efficient and Diverse Dialogue-Based Language Models for Autonomous Vehicle Development
Electrical Engineering and Systems Science, Systems and Control
Improving Rural Lives with Pico-Hydroelectric Power
Electrical Engineering and Systems Science, Systems and Control
Advanced Droop Control Enhances Microgrid Resilience
Computer Science, Computer Vision and Pattern Recognition
Learning to Segment Point Clouds with Text Prompts
Computer Science, Mathematical Software
Tensor-Based Computing: Unpacking the RT Algebra
Biomolecules, Quantitative Biology
Effective Sequence Filtering for Improved Model Performance: A Comparative Study
Computation and Language, Computer Science