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LLM & AI Agent Applications with LangChain and LangGraph — Part 4 — Components of GPT
pub.towardsai.net·1h
🤖Transformers
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[Discussion] The "Noise" Bottleneck in Local 8B RAG – A comparison of cleaning strategies (Regex vs. Unstructured vs. Entropy)
reddit.com·10h·
Discuss: r/LocalLLaMA
📊HyperLogLog
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Compressed Sensing with Coherent and Redundant Dictionaries
dev.to·5h·
Discuss: DEV
📡Signal Processing
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faradayio/xsv2: Fork of xsv because qsv is too much
github.com·14h·
Discuss: Hacker News
🥑Avro
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**Title:** Enhanced Symmetry Detection via Adaptive Graph Resonance and Temporal Correlation Analysis: A Novel Approach to Mirror Symmetry Validation in High-Dimensional Spaces
freederia.com·3h
🕸️GraphBLAS
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Soft Filtering: Guiding Zero-shot Composed Image Retrieval with Prescriptive and Proscriptive Constraints
arxiv.org·3d
🔍RAG
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Advanced Queries in ActiveRecord for Ruby on Rails
blog.appsignal.com·1d
📋Columnar Storage
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Natural language processing for word sense disambiguation and information extraction
arxiv.org·21h·
Discuss: r/compsci
💬Natural Language Processing
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Deep Graph Contrastive Representation Learning
paperium.net·3h·
Discuss: DEV
🎨Chroma
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Exploring TabPFN: A Foundation Model Built for Tabular Data
towardsdatascience.com·14h
🌀Naiad
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What I Learned Building a Storage Engine That Outperforms RocksDB
tidesdb.com·7h·
Discuss: Hacker News, r/programming
📋Columnar Storage
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Pandas vs Polars: Why the 2025 Evolution Changes Everything
dev.to·14h·
Discuss: DEV
🐻‍❄️Polars
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Error Bounds in a Smooth Metric for Brownian Approximation of Dynamical Systems via Stein’s Method | Journal of Statistical Physics
link.springer.com·1d
📊Optimization
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A Practical Guide to Designing with Data eBooks
briansuda.gumroad.com·1d
🏗️Information Architecture
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Running Code and Failing Models – Rajiv Shah
projects.rajivshah.com·2d
📱Edge AI
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Treating Functions as Vectors in Hilbert Space
hackaday.com·2d
📐Linear Algebra
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TRUNAJOD: A text complexity library for text analysis built on spaCy — TRUNAJOD 0.1.1 documentation
trunajod20.readthedocs.io·14h
🦗Pest
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wwes4/AI_Accel_1.5x: AI acceleration framework for ~1.5x speedups in mid-sized models via tension-based pruning. Built utilizing xAI's Grok.
github.com·1d·
Discuss: Hacker News
🦀Rayon
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<p>**Abstract:** This paper introduces a novel framework, Automated Protocol Refinement for Enhanced Algorithm Validation (APREAV), to significantly improve the...
freederia.com·19h
🌀Naiad
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Information, Physics, and Computation (Oxford Graduate Texts): Mézard, Marc, Montanari, Andrea: 8601410201722: Amazon.com: Books
amazon.com·1d
📊Information Theory
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