Meta’s Generative Ads Model (GEM): The Central Brain Accelerating Ads Recommendation AI Innovation
engineering.fb.com·23h·
Discuss: Hacker News
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Machine learning automates material analysis and design using X-ray spectroscopy data
phys.org·1d
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Beyond Plain Demos: A Demo-centric Anchoring Paradigm for In-Context Learning in Alzheimer's Disease Detection
arxiv.org·11h
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DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning
arxiv.org·11h
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Google-MedGemma Based Abnormality Detection in Musculoskeletal radiographs
arxiv.org·11h
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Physics as Code: Train AI with Differentiable Simulations
dev.to·1d·
Discuss: DEV
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Generalization in Representation Models via Random Matrix Theory: Application to Recurrent Networks
arxiv.org·1d
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AD-DAE: Unsupervised Modeling of Longitudinal Alzheimer's Disease Progression with Diffusion Auto-Encoder
arxiv.org·11h
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DeepPersona: A Generative Engine for Scaling Deep Synthetic Personas
arxiv.org·11h
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Argus: Quality-Aware High-Throughput Text-to-Image Inference Serving System
arxiv.org·11h
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Fluctuation-learning relationship in recurrent neural networks
nature.com·1d
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From Zero to LLMOps Hero: Your 101 Guide to Running LLMs in Production
analyticsvidhya.com·1d
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Non-Negative Stiefel Approximating Flow: Orthogonalish Matrix Optimization for Interpretable Embeddings
arxiv.org·11h
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Provable Benefit of Curriculum in Transformer Tree-Reasoning Post-Training
arxiv.org·11h
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Diagnosing and Breaking Amplitude Suppression in Seismic Phase Picking Through Adversarial Shape Learning
arxiv.org·11h
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BridgeVoC: Revitalizing Neural Vocoder from a Restoration Perspective
arxiv.org·11h
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