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.
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Human-Defined Reward Function Outperforms Predictive Models in Drug Discovery
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Neural Reconstruction of 3D Scenes: A Comprehensive Review
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Hardness of Submodel Enumeration for Combinatorial Logic
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Optimal Coordination Mechanisms in Generalized Principal-Agent Problems: A Revisit and Extensions
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Enhancing ADS-B Security with Cryptographic Techniques
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Deep Visual-Semantic Embedding Model for Text Classification
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Image Colourization Using Convolutional Neural Networks: A Trailblazing Approach
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Faster Mixture-of-Experts Modeling via Principled Aggregation
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Mining Unstructured Data: A Review of Textract and Amazon Augmented AI
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Addressing Global Class Distribution Imbalance in Federated Learning
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Scalable Learning of Non-Decomposable Objectives through Coreset Construction
Optimizing Purkinje Networks Using Bayesian Inference: A Machine Learning Approach
Computer Science, Distributed, Parallel, and Cluster Computing
Increasing Efficiency in Computational Fluid Dynamics through In-Situ Analysis
Computation and Language, Computer Science
Investigating Syntactic Agreement Errors in Recurrent Networks and Humans
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Unlocking Foundation Models for Pathological Image Analysis: A Comparative Study of Self-Supervised Learning Methods
Computation and Language, Computer Science
Uncovering the Secrets of LLMs: A Journey from Marine to Actor
Artificial Intelligence, Computer Science
Simplifying Complex Texts: A Guide to Text Transformation
Electrical Engineering and Systems Science, Image and Video Processing