Computer Science, Computer Vision and Pattern Recognition
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.
Electrical Engineering and Systems Science, Image and Video Processing
Reconstructing Hyperspectral Images with Efficient Indirect Illumination
Computer Science, Computer Vision and Pattern Recognition
Fusing Attentions for Zero-Shot Text-Based Video Editing
Computer Science, Computer Vision and Pattern Recognition
Semantic Filtering for Improved Text Generation
Populations and Evolution, Quantitative Biology
Accurate Lower Bounds for Phylogenetic Tree-Child Reticulation
Biomolecules, Quantitative Biology
Trade-Offs in Protein Representation Learning: Evaluating Methods for Drug-Protein Interactions
Biomolecules, Quantitative Biology
AI-Predicted Protein Structures Encoded Energy Landscape Perturbations
Field Modeling: A Probabilistic Approach to Compute Global Outcomes
Biomolecules, Quantitative Biology
Improving Wheat Quality: A Multifaceted Approach
Effective Field Formalism for Connectivity Fields
Connectivity-induced Changes in Activity: A Helical Perspective
Neural Networks in Interactions with Other Structures
Neurons and Cognition, Quantitative Biology
Uncovering Signal Reconstruction Mechanisms in Self-Supervised Learning Models
Computer Science, Neural and Evolutionary Computing
Neural Darwinism and Associative Memory: A Theoretical Framework for Brain Function
Computer Science, Data Structures and Algorithms
Maximum Flow and Minimum-Cost Flow in Almost-Linear Time
Optimization Methods for Unconstrained Problems with Non-Quadratic Cost Functions: A Review
New Materials for Sputtering Targets: A Promising Future
Instrumentation and Detectors, Physics