Computer Science, Software Engineering
Author: LLama 2 7B Chat
Page 3/179
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.
Computer Science, Machine Learning
Conflict of Interest-Free Study Shares Data upon Request
Computer Science, Networking and Internet Architecture
Effective GainNet-based Summarization in Medical Domain with Limited Data
Computer Science, Machine Learning
Camouflaged Poisoning Attack on Graph Neural Networks
Computer Science, Software Engineering
Optimizing Algorithms Inspired by Nature
Computer Science, Machine Learning
Forecasting Microclimates with Deep Learning: A Zero-Shot Approach
Computer Science, Computer Science and Game Theory
Stability in Matching Problems: A Survey of Recent Research
Computer Science, Distributed, Parallel, and Cluster Computing
AI-Generated Content in Limbo: The Impending Exhaustion of High-Quality Language Data
Computer Science, Distributed, Parallel, and Cluster Computing
Efficient Context Window Extension for Large Language Models
Electrical Engineering and Systems Science, Systems and Control
Optimizing Battery Size for Off-Grid Renewable Hydrogen Production: A Techno-Economic Analysis
Audio and Speech Processing, Electrical Engineering and Systems Science
Improving End-to-End Speech Recognition with Deep Neural Beamforming
Computer Science, Information Theory
Detecting Detection Symbols in OTFS Systems with UAMP-MFIC Iterative Detector
Computer Science, Networking and Internet Architecture
Deep Learning for Joint Source-Channel Coding of Text: A Robust Selection and Renting Approach
Computer Science, Computer Vision and Pattern Recognition
Efficient Diffusion Models for Text-to-Image Synthesis
Generating Music Tracks with Unified Representation and Diffusion Framework: A Comparative Study
Computer Science, Distributed, Parallel, and Cluster Computing
A Comparative Study of ROCm and Adaptive C++ for Efficient Memory Management in HPC Applications
Computer Science, Machine Learning
Deep Graph Clustering: A Comprehensive Review of Recent Approaches and Challenges
Computer Science, Machine Learning
Diffusion-based Molecule Generation with Informative Prior Bridges
Sad Narratives Increase Willingness to Help Robots
Computer Science, Cryptography and Security