Lazy loading isn't the magic pill to fix AI Inference
tensorfuse-docs.mintlify.dev·15h·
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We found embedding indexing bottleneck in the least expected place: JSON parsing
nixiesearch.substack.com·1d·
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How to Use Multimodal AI Models With Docker Model Runner
docker.com·1d
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What data do coding agents send, and where to?
chasersystems.com·17h·
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Most Gen AI Players Remain 'Far Away' from Profiting: Interview with Andy Wu
library.hbs.edu·10h·
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Cyclic Proofs for iGL via Corecursion
arxiv.org·1h
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Beyond Bandwidth: AI's Quantum Leap in Image Transmission
dev.to·19h·
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NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers
arxiv.org·1h
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.org·1d
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Hydra: Dual Exponentiated Memory for Multivariate Time Series Analysis
arxiv.org·1d
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Tetris: An SLA-aware Application Placement Strategy in the Edge-Cloud Continuum
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MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling
arxiv.org·1d
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Helios-Engine ,Why I Built Another LLM Agent Framework (And Why You Might Actually Care)
dev.to·1d·
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Automated Variant Calling Refinement via Multi-Modal Neuro-Symbolic Integration (AMVR-MNSI)
dev.to·11h·
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[P] triplet-extract: GPU-accelerated triplet extraction via Stanford OpenIE in pure Python
reddit.com·1d·
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EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs
arxiv.org·1d
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Complex QA and language models hybrid architectures, Survey
arxiv.org·1d
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When Modalities Conflict: How Unimodal Reasoning Uncertainty Governs Preference Dynamics in MLLMs
arxiv.org·1h
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flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
arxiv.org·1d
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Engineering.ai: A Platform for Teams of AI Engineers in Computational Design
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