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.
Computer Science, Machine Learning
Sustainable AI: Federated Learning’s Potential to Reduce Carbon Footprint
Computer Science, Computer Vision and Pattern Recognition
Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation
Computer Science, Cryptography and Security
Strengthening VA Security and Privacy: A Critical Review
Contextualizing Human Behavior and Feedback in Robot-Human Interaction
Unlocking the Potential of Graph Neural Networks for Time-Series Analysis
Computer Science, Machine Learning
Comparing Energy Efficiency and Robustness in Federated Learning
Artificial Intelligence, Computer Science
Incremental Transformer with Deliberation Decoder for Document Grounded Conversations.
Computer Science, Distributed, Parallel, and Cluster Computing
Unlocking GenAI’s Potential: Leveraging Pub/Sub Communication Patterns and Message Brokers for Enhanced Content Delivery
Computer Science, Computer Vision and Pattern Recognition
Improving Disparity Estimation in Stereo Vision with Context-Aware Attention
Computer Science, Machine Learning
Deep Clustering with Variational Autoencoder
Computer Science, Logic in Computer Science
Combinatory Algebras and Embeddings: A Study of Partial Combinators
Computer Science, Machine Learning
Robust Forecasting Methods: A Comparative Study
Designing Artificial Reverberation Networks with Control of Scattering and Early Reflections
Computer Science, Computer Vision and Pattern Recognition
Improving Image Quality through Knowledge Distillation: A Comparative Study
MAG-BERT and Modality-Aware Prompting: Enhancing Continual Test Time Adaptation
Artificial Intelligence, Computer Science
Automating Causal Relation Extraction in Scientific Texts using Large Language Models
Recognizing Spheres in Discrete Spaces: A Graph-Theoretic Approach
Computer Science, Information Theory
Coding and Information Theory: Lee Weights and Codewords
Computer Science, Networking and Internet Architecture