Author: LLama 2 7B Chat
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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.
Unconditional Security of Quantum Commitments in the Auxiliary-Input Setting
Computation and Language, Computer Science
Bayesian Analysis in Expert Systems: Graphical Models, Causality, and Intervention
AR-Based Learning of Physics: A Systematic Review and Meta-Analysis
Computer Science, Computer Vision and Pattern Recognition
Enhancing Video Recognition via Progressive Self-Training with Noisy Pseudo-Labels
Biomolecules, Quantitative Biology
Enhancing Structure Prediction with Multi-Scale Iterative Refinement
Computer Science, Machine Learning
Deep Learning Invariance Strategies for Improved Generalization
Computer Science, Computer Vision and Pattern Recognition
Verifying Fingerprints with Deep Learning: A Comprehensive Review
Catalysts for Electrochemical Water Splitting: A Comprehensive Review
History and Philosophy of Physics, Physics
Feynman’s Genius: Uncovering the Mind of a Quantum Theorist
Computer Science, Machine Learning
FedHBM: A Local Correction Method for Non-IID Federated Learning
Improving Object Reconstruction via Ensemble Average in Coherent Illumination
Rethinking Residential Heating: The Role of Power-to-Gas in Europe’s Energy Transition
Compression-Driven Viscous Fingering Onset Delayed by Cavern Morphology
Advances in Laser Technology for Material Processing
Compressed Nonlinear Optics: A New Frontier in Photon Science
Acoustic Instability of Vortices in Fluid Flows
Mesoscale and Nanoscale Physics, Physics
Emerging Topics in Materials Science: A Review of Recent Research and Developments
High Energy Astrophysical Phenomena, Physics