Tag: machine learning
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LineMVGNN: Advanced AML with Multi-View Graph Neural Nets
Discover how LineMVGNN uses multi-view graph neural networks to boost anti-money laundering accuracy and scalability in financial transactions.
Boost LLM Fine-Tuning with SageMaker and S3 Integration
Learn how to accelerate LLM fine-tuning using unstructured data with Amazon SageMaker Unified Studio and S3 for improved ML workflows.
Dual-Criterion Curriculum Learning for Time-Series Data
Explore Dual-Criterion Curriculum Learning (DCCL) to improve time-series forecasting by combining loss and density-based difficulty assessment methods.
Safe Reinforcement Learning with Preference-Based Constraints
Discover how preference-based constraint inference improves safety in reinforcement learning for complex, real-world decision-making scenarios.
Synthetic Mixed Training: Boosting Language Models Beyond RAG
Discover how Synthetic Mixed Training surpasses RAG by combining synthetic QAs and documents for superior language model performance.