[R] Fine-tuning services report
If you have some data and want to train or run a small custom model but don't have powerful enough hardware for training, fine-tuning ser...
GPUs, training clusters, MLOps, and deployment
If you have some data and want to train or run a small custom model but don't have powerful enough hardware for training, fine-tuning ser...
Everyone talks about AI models, but the real bottleneck might be hardware. According to a recent study by Roots Analysis: AI chip market ...
UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...
Abstract page for arXiv paper 2603.02949: SEALing the Gap: A Reference Framework for LLM Inference Carbon Estimation via Multi-Benchmark ...
Abstract page for arXiv paper 2603.02886: StegaFFD: Privacy-Preserving Face Forgery Detection via Fine-Grained Steganographic Domain Lifting
Abstract page for arXiv paper 2603.02854: CoFL: Continuous Flow Fields for Language-Conditioned Navigation
Abstract page for arXiv paper 2603.02830: Faster, Cheaper, More Accurate: Specialised Knowledge Tracing Models Outperform LLMs
Abstract page for arXiv paper 2603.02816: BrandFusion: A Multi-Agent Framework for Seamless Brand Integration in Text-to-Video Generation
Abstract page for arXiv paper 2603.02781: Scores Know Bobs Voice: Speaker Impersonation Attack
Abstract page for arXiv paper 2603.02460: Conformal Graph Prediction with Z-Gromov Wasserstein Distances
Abstract page for arXiv paper 2603.02745: Enhancing User Throughput in Multi-panel mmWave Radio Access Networks for Beam-based MU-MIMO Us...
Abstract page for arXiv paper 2603.02704: Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language De...
Abstract page for arXiv paper 2603.02376: CUCo: An Agentic Framework for Compute and Communication Co-design
Abstract page for arXiv paper 2603.02289: Topological Causal Effects
Abstract page for arXiv paper 2603.02261: Quantum AS-DeepOnet: Quantum Attentive Stacked DeepONet for Solving 2D Evolution Equations
Abstract page for arXiv paper 2603.02597: GPUTOK: GPU Accelerated Byte Level BPE Tokenization
Abstract page for arXiv paper 2603.03251: Speculative Speculative Decoding
Abstract page for arXiv paper 2603.03206: Understanding and Mitigating Dataset Corruption in LLM Steering
Abstract page for arXiv paper 2603.02420: Slurry-as-a-Service: A Modest Proposal on Scalable Pluralistic Alignment for Nutrient Optimization
Abstract page for arXiv paper 2603.03172: Less Noise, Same Certificate: Retain Sensitivity for Unlearning
Abstract page for arXiv paper 2603.03084: On the Expressive Power of Transformers for Maxout Networks and Continuous Piecewise Linear Fun...
Abstract page for arXiv paper 2603.02271: Characterizing VLA Models: Identifying the Action Generation Bottleneck for Edge AI Architectures
Abstract page for arXiv paper 2603.02973: On the Topology of Neural Network Superlevel Sets
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