Artificial Intelligence, Computer Science
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, Software Engineering
Improving AAR/AI in ChatGPT-Powered Interfaces: Revisiting Steps 3-6
Computation and Language, Computer Science
Unlocking Emergent Linguistic Structure in AI Models
New Construction of T-User Unicast Diversity Codes with High Sum-Rate
Computer Science, Networking and Internet Architecture
Efficient Underwater Routing Protocols for Low Energy Consumption
High Energy Physics - Experiment, Physics
WebGPU-Based Rendering Engine for ROOT and EVE: RenderCore
Computer Science, Machine Learning
Exploring Regularization Techniques to Improve Expressiveness in Graph Neural Networks
Mathematics, Numerical Analysis
Numerical Approximation Methods for Elliptic Boundary Value Problems
Computer Science, Machine Learning
Diverse Multimedia Layout Generation with Multi-Choice Learning
Computer Science, Distributed, Parallel, and Cluster Computing
Optimizing Task Offloading in Mobile Edge Computing with Transformer-Based Policy.
Computational Engineering, Finance, and Science, Computer Science
Sustainable and Modular Design of Scientific Computing Software: A Guide for Flash-X Developers
Computer Science, Distributed, Parallel, and Cluster Computing
FPGAs in High-Speed Recommendations: A Novel Deployment Approach
Computer Science, Machine Learning
Generating Counterfactuals with Latent Space Reconstruction
Electrical Engineering and Systems Science, Image and Video Processing
Unlocking Image Translations with Multifaceted Loss Functions
Computer Science, Hardware Architecture
Deep Generative AI Models: Challenges and Opportunities in Fine-Tuning
Computer Science, Computer Science and Game Theory
Infinite-Dimensional Purification Principle without Saturation
Computer Science, Machine Learning
Deep Learning Techniques for Reinforcement Learning: A Survey
Artificial Intelligence, Computer Science
Efficient Poker Hand Notation for Scientific Use Cases
Computer Science, Computers and Society
Quantifying Underreporting Disparities in Dynamic Environments
Computational Complexity, Computer Science