Transformers and Attention: How LLMs Actually Process Text
dev.to·1d·
Discuss: DEV
🎧Learned Audio
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Data Science Quiz For Humanities
codingthepast.com·1d
🧪Data science
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Understanding LLMs as Pattern Machines, Not Thinking Partners
practicalsecurity.substack.com·20h·
Discuss: Substack
💻Programming languages
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Multidimensional Rubric-oriented Reward Model Learning via Geometric Projection Reference Constraints
arxiv.org·2d
🧠Machine Learning
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Arc Is a Vision Problem
arxiviq.substack.com·17h·
Discuss: Substack
🚀SIMD Text Processing
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AMS-KV: Adaptive KV Caching in Multi-Scale Visual Autoregressive Transformers
arxiv.org·2d
🧠Neural Codecs
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Accelerated Variant Calling Through Hybrid Uncertainty-Aware Graph Neural Networks in WGS Data
dev.to·1d·
Discuss: DEV
🌸Bloom Variants
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Dimension vs. Precision: A Comparative Analysis of Autoencoders and Quantization for Efficient Vector Retrieval on BEIR SciFact
arxiv.org·5d
⚙️Compression Benchmarking
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- Neuroevolution
neuroevolutionbook.com·2d·
Discuss: Hacker News
🔲Cellular Automata
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Learning with Statistical Equality Constraints
arxiv.org·4d
🧠Machine Learning
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DCL-SE: Dynamic Curriculum Learning for Spatiotemporal Encoding of Brain Imaging
arxiv.org·3d
🧠Machine Learning
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Cross-Modal Embeddings: Bridging AI Modalities
dev.to·1d·
Discuss: DEV
🗂️Vector Search
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Aerial View River Landform Video segmentation: A Weakly Supervised Context-aware Temporal Consistency Distillation Approach
arxiv.org·2d
🧠Machine Learning
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Automated Defect Classification in Wafer Fabrication via Spatio-Temporal Anomaly Detection
dev.to·1d·
Discuss: DEV
🤖Advanced OCR
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ECPv2: Fast, Efficient, and Scalable Global Optimization of Lipschitz Functions
arxiv.org·2d
🧠Machine Learning
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Classification of worldwide news articles by perceived quality, 2018-2024
arxiv.org·2d
📰Content Curation
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Automated Retrofit Optimization for Enhanced Energy Star Home Performance via Bayesian Hyperparameter Tuning
dev.to·11h·
Discuss: DEV
⚡Incremental Computation
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Show HN: Mamba2-Jax; Mamba2 implemented in pure Jax/Flax
github.com·17h·
Discuss: Hacker News
💧Liquid Types
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Leveraging Multi-Modal Data Fusion for Early Neural Development Trait Prediction from iPSC-Derived Neural Progenitors
dev.to·22h·
Discuss: DEV
🧠Machine Learning
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Boosting Predictive Performance on Tabular Data through Data Augmentation with Latent-Space Flow-Based Diffusion
arxiv.org·2d
🧠Machine Learning
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