Computation and Language, Computer Science
Author: LLama 2 7B Chat
Page 148/179
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.
Efficient Image Encryption Scheme Based on Quantum Key Distribution and Chaos Theory
Computer Science, Computer Vision and Pattern Recognition
Neural Rendering of Dynamic Scenes with Interactive Perception
Computer Science, Computer Vision and Pattern Recognition
Disentangling Geometry and Appearance for High-Quality Text-to-3D Content Creation
Computer Science, Computer Vision and Pattern Recognition
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Mesoscale and Nanoscale Physics, Physics
Managing Parallelism in Object-Oriented Numerical Libraries
EKAI Model: Time-Dependent Electric Fields and Switching Polarization
Unlocking Visual Navigation: Efficient Graph Memory and Reinforcement Learning
Wigner Transform and Its Applications in Nonlinear Wave Propagation
Mathematics, Numerical Analysis
Unlocking 3D Shape Analysis with Conformal Geometry and Trust-Region Optimization
Robust Pptychography: Overcoming Data Redundancy in Broadband Illumination
Computer Science, Human-Computer Interaction
Enhancing Target Selection Efficiency with Multimodal Gaze-Based Techniques: A Comparative Analysis
Tomographic Reconstruction Techniques: A Comparative Review
Computation and Language, Computer Science
Enhancing Document Analysis with Robust PDF Conversion and Natural Language Processing Techniques
Research-Based Strategies for Estimating Large Numbers in Mathematics Education
Computer Science, Computer Vision and Pattern Recognition
Improved Semantic Segmentation for Open-Vocabulary Queries Using NeRF and Panoptic Neural Fields
Computer Science, Neural and Evolutionary Computing
Detecting Schizophrenia via EEG Data Analysis: A Review of Recent Advances
Computer Science, Social and Information Networks
New Perspectives on Link Prediction Evaluation: A Taxonomy of Negative Samples
Computer Science, Information Theory
Improved Logical Error Rate in LDPC Decoding with Early Stopping Criterion
Computational Physics, Physics