Deep Learning
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Deep learning news and research on multi-layer neural networks. Coverage spans transformer and convolutional architectures, training and optimisation, hardware and distributed training, transfer learning and fine-tuning, and evaluation methods.
CMU Researchers Propose MOMENT: A Family of Open-Source Machine Learning Foundation Models for General-Purpose Time Series AnalysisVector Search Performance: The Rise of RecallMicrosoft Researchers Introduce MatterSim: A Deep-Learning Model for Materials Under Real-World ConditionsUnderstanding Abstractions in Neural NetworksThe Best Strategies for Fine-Tuning Large Language ModelsBridging the Gap: Fine-Tuning Phi-3 for SQL Query Generation with Natural Language Queries:Deep Dive into Unsloth: Unleashing the Speed of LLM Fine-Tuning:Interpretable kNN (ikNN)Neural Networks and Nucleotides: AI in Genomic ManufacturingSpeeding up ViTs using Block Sparsity
Roadmaps
Comprehensive roadmap for Deep Learning
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