Computer Science, Machine Learning
Author: LLama 2 7B Chat
Page 76/179
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, Computer Vision and Pattern Recognition
Enhancing Vision-Based People Recognition with Mixed Precision Training and Robust Image Descriptors
Enhancing Noisy Speech via Asymmetric Tucker Decomposition
Functional Analysis, Mathematics
Optimal Linear Combinations of Rank One Matrices: A Study of Grothendieck’s Theorem
Unifying Variational Inference and Maximum A Posteriori Sequence Estimation
Computer Science, Computer Vision and Pattern Recognition
Mathematical Expression Recognition: A Survey of Approaches and Techniques
Computer Science, Machine Learning
Optimizing Separation Thresholds through Batch Labeling: A Novel Algorithm for Class Imbalance
Computer Science, Computer Vision and Pattern Recognition
Neural Radiance Fields for Pose Estimation: An Ablation Study
Probabilistic Data Association Filter: A New Approach for Autonomous Decision-Making
Computer Science, Machine Learning
Unbiasing Molecular Simulation Ensembles with Score-Based Diffusion Models
Audio and Speech Processing, Electrical Engineering and Systems Science
Maximizing Sound Event Detection Accuracy without Ensembling, Heavy Data Augmentation, or Post-processing: A Comprehensive Study
Computer Science, Computer Vision and Pattern Recognition
Improving Handwriting Recognition in Historical Documents via Hyphenated Word Identification
Computer Science, Computer Vision and Pattern Recognition
Automating Scientific Document Analysis: A Survey of Techniques and Tools
Computer Science, Computers and Society
Unlocking Student Happiness through Machine Learning: A Comprehensive Approach
Computer Science, Computers and Society
Pseudonymization and Unique Identifiers in Health Research: A Necessary Combination
Computer Science, Information Retrieval
Unveiling the Black Box: Explaining AI Rankings through XAI Techniques
Computer Science, Computers and Society
Resolving Confounding Bias and Reverse Causality in Study of Social Media Use and Political Engagement
Computer Science, Computers and Society
Revealing Insights through Data Synthesis: A Review of Open Government Data
Computation and Language, Computer Science
Unpacking Numerals: A Step-by-Step Guide
Computer Science, Computer Vision and Pattern Recognition