Computer Science, Machine Learning
Author: LLama 2 7B Chat
Page 156/179
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.
Army-Funded Research Explores Swarming Robots’ Collaboration
Audio and Speech Processing, Electrical Engineering and Systems Science
Speech Waveform Coders and Quality Measures: A Comparative Study
Balancing Graph Summarization and Change Detection: A Statistical Approach
Computer Science, Computer Vision and Pattern Recognition
Fast AutoAugment: A Novel Approach to Efficient Image Synthesis
Computation and Language, Computer Science
Unlocking Creative Freedom: The Power of Free Expression in Art
Computer Science, Machine Learning
Entropy Rate Minimization for Predictable Reinforcement Learning Dynamics
Computer Science, Social and Information Networks
Automatic Overfitting Prevention in Model Selection using Minimum Description Length
Computer Science, Computer Vision and Pattern Recognition
Discretizing ODEs with Residual Neural Networks
Computation and Language, Computer Science
Uncovering Hidden Bias in Language Models: A Case Study
Computation and Language, Computer Science
Natural Language Inference for Conjunctive Sentences
Computer Science, Distributed, Parallel, and Cluster Computing
Viability of S3 Object Storage for the ASC Program at Sandia
Fast Low-Rank Modifications of Thin Singular Value Decomposition
Enhancing Roundedness Filters for Wash Trading Detection in Cryptocurrencies
Computer Science, Machine Learning
Unraveling the Mystery of Feature Learning in Deep Neural Networks
Computer Science, Information Retrieval
Compression Techniques for Indexed Data: A Review
Q-Learning Applications in Pharmaceutical Research and Development: A Review
Computer Science, Programming Languages
Automatic Functional Differentiation in JAX: A Comprehensive Guide
Computation and Language, Computer Science
Unlocking Creativity: The Potential of AI in Writing
Computation and Language, Computer Science