scalable framework
An architecture or system designed to effectively accommodate growth in data, complexity, and user demand, ensuring that AI applications remain performant and efficient as they scale.
- A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks
- Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking
- Fantastic Bugs and Where to Find Them in AI Benchmarks
- Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing
- On scalable and efficient training of diffusion samplers
- Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization