My Journey with Sentence Transformers, OpenAI Embeddings, and Vector Databases
dev.to·17h·
Discuss: DEV
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Automated Multi-label Classification of Eleven Retinal Diseases: A Benchmark of Modern Architectures and a Meta-Ensemble on a Large Synthetic Dataset
arxiv.org·21h
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Beyond Vector Databases: RAG Architectures Without Embeddings
digitalocean.com·14h
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[P] aligning non-linear features with your data distribution
reddit.com·15h·
Discuss: r/MachineLearning
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Recurrence affects the geometry of visual representations across the ventral visual stream in the human brain
journals.plos.org·11h
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Deep active optimization for complex systems
nature.com·16h
🖨️3d printing
Notes on Autograd
aschrein.github.io·6h·
Discuss: Hacker News
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Paying attention to feature distribution alignment (pun intended)
alexshtf.github.io·16h·
Discuss: Hacker News
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Embeddings? Your brain invented them first
dev.to·2d·
Discuss: DEV
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UMATO: Bridging Local and Global Structures for Reliable Visual Analytics with Dimensionality Reduction
arxiv.org·21h
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Neural Network in R
dev.to·1d·
Discuss: DEV
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Joint Error Propagation
theorangeduck.com·1d
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TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill \& Decode Inference
arxiv.org·21h
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There is an easy way to dramatically reduce the resources we spend to train LLMs.
medium.com·4d·
Discuss: r/LocalLLaMA
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STCAGNN-RNKDE: a traffic accident prediction model for spatiotemporal combinatorial attention graph neural networks using Ripley’s K and network kernel density ...
sciencedirect.com·6h
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NVFP4 Trains with Precision of 16-Bit and Speed and Efficiency of 4-Bit
developer.nvidia.com·1d·
Discuss: Hacker News
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Evidence for compositionality in fMRI visual representations via Brain Algebra
nature.com·4d
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Explore the Interpretability of Embeddings
huggingface.co·2d·
Discuss: r/LLM
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A Review of Developmental Interpretability in Large Language Models
arxiv.org·21h
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RotaTouille: Rotation Equivariant Deep Learning for Contours
arxiv.org·21h
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