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, Computer Vision and Pattern Recognition
Alleviating Deficiencies in Private Datasets with Public Synthetic Document Datasets: A Comparative Study
Computer Science, Machine Learning
Particle-Based Inference Techniques in Reinforcement Learning
Computer Science, Computer Vision and Pattern Recognition
Efficient and Accurate Face Recognition Method Without Labelled Data
Comparing Deep Learning Models for Music Classification: A Comprehensive Study
Computer Science, Human-Computer Interaction
Emotional Speech Dataset Development: A Comprehensive Approach
Audio and Speech Processing, Electrical Engineering and Systems Science
Hybrid Learning for Face TrackerFT with Pseudo-Labels
Computational Complexity, Computer Science
Hardness vs Randomness: A Comparative Study of Derandomization Techniques
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4D ICP Algorithm for Color Point Cloud Registration
Bridging the Gap Between Stochastic Gradient MCMC and Optimization
Computer Science, Cryptography and Security
Reduction and Recursion of Semidirect Product Decomposition in Finite Groups
Computer Science, Data Structures and Algorithms
Comparing Unrooted and Rooted Phylogenetic Trees Using Tree Dissimilarity: A Methodological Approach
Computer Science, Logic in Computer Science
Decomposition of Multi-Mode Dual-Port Capacitor DC-DC Converters using Boolean Variables
Computation and Language, Computer Science
Sure, I’d be happy to help! At the current step, the user is asking for assistance in finding properties in Berlin related to solar energy. The assistant responds by suggesting the tool “AirbnbSearch.search_property_by_place” to find properties in Berlin. The user then asks for the value of ‘place’ required by the current tool, and the assistant responds with “Berlin”.
Calibration and Identification of Sensor Fusion for Mobile Robots: A Comparative Study
Rap Music Evolution: From Early 2000s to Global Dominance
Computer Science, Information Retrieval
Contextual Clustering in Multi-Armed Bandits: A Neural Network Perspective
Computer Science, Cryptography and Security
Optimizing Transaction Fees in Blockchain Systems: A Dynamic Incentive Approach
Computer Science, Social and Information Networks
Unlocking Scientific Insights: Topic Modeling for ArXiv Documents
Electrical Engineering and Systems Science, Systems and Control