Multi-Modal RAG systems are way better. Traditional RAGs feel blind when compared to them.
🏺Data Archaeology
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Learning with Preserving for Continual Multitask Learning
arxiv.org·5d
🎮Reinforcement Learning
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Angular Graph Fractional Fourier Transform: Theory and Application
arxiv.org·2d
📡Signal Processing
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Post-Quantum Cryptography in .NET
🛡️Memory Safety
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Halac (High Availability Lossless Audio Compression) First Version Source Codes
🗜️Archive Compression
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The Challenge of Large File Checksums
🗜️Data Compaction
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Contrastive Entropy Bounds for Density and Conditional Density Decomposition
arxiv.org·5d
📊Information Theory
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Automated Anomaly Mitigation via Spatio-Temporal Correlation in Z-Scan Acoustic Emission Signatures
🔍AI Detection
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Tab-PET: Graph-Based Positional Encodings for Tabular Transformers
arxiv.org·5d
📊Columnar Engines
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Optimal Communication Unbalanced Private Set Union
arxiv.org·4d
🔐Privacy Engineering
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Taming the Data Beast: Build Pipelines That Bend, Not Break by Arvind Sundararajan
🔧Data Engineering
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Sparse by Rule: Probability-Based N:M Pruning for Spiking Neural Networks
arxiv.org·5d
📊Columnar Engines
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Show HN: Lite³ – A JSON-Compatible Zero-Copy Serialization Format in 9.3 KB of C
🦀Rust Scientific
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Discovering Operational Patterns Using Image-Based Convolutional Clustering and Composite Evaluation: A Case Study in Foundry Melting Processes
arxiv.org·5d
🧭Vector Databases
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Transformers: The Magic Engine Behind ChatGPT, Gemini & Every Modern AI Model!
🧭Vector Databases
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How to Build an Over-Engineered Retrieval System
towardsdatascience.com·4d
🔄Feed Aggregation
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