Author: LLama 2 7B Chat
Page 153/179
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.
Unraveling the Mysteries of Orbital Angular Momentum in Nonlinear Optics
Magnetic Field-Driven Nonlinear Vibration Control of Shape-Memory Alloys
Analyzing Toxicity in Twitter Posts Across Countries: A Comparative Study
Enhancing Electrical Properties of InAs Nanowire Field-Effect Transistors via Y2O3/HfO2 Layers
Variability in Tunnel Length and BTBT Current in Optimized Foundry Processes
Harmony Search Optimization: A New Approach for Vehicle Fuel Consumption Optimization
Unveiling Startup Ecosystems: A Study of Interconnected Sectors and Technologies
Magnetized Plasma and Role of Negative Ions in Reductive Perturbation Method
Mesoscale and Nanoscale Physics, Physics
Exciton Dynamics in Monolayer WSe2: Local Strain Control and Valley Coherence
Computation and Language, Computer Science
Assessing Large Language Model Generated Content for Fairness and Accuracy
Computer Science, Machine Learning
Deep Learning Efficiency: Unlocking Sustainable Advancements with 16-Bit Precision Training
Reinforcement Learning with Graph Neural Networks: A Survey of Publicly Available Weights
Computer Science, Computer Vision and Pattern Recognition
Multimodal Event Recognition via Vision-Language Transformer
Electrical Engineering and Systems Science, Signal Processing
Reconfigurable Intelligent Surface-Aided Wireless Communications: A Comprehensive Review
Computer Science, Distributed, Parallel, and Cluster Computing
Efficient State Replication for Network Functions in Cloud Computing
Computer Science, Machine Learning
Lowering Barriers to Entry: Efficient GANN-based Optimization for Machine Learning
Electrical Engineering and Systems Science, Signal Processing
Spectrum Awareness in Presented Framework
Mathematics, Numerical Analysis