LLMs - Embeddings 01
dev.to·2d·
Discuss: DEV
🧮Vector Embeddings
Lessons from Amazon S3 Vector Store and the Nuances of Hybrid Vector Storage
caylent.com·2d·
Discuss: Hacker News
🗄️Database Internals
Dataset Condensation with Color Compensation
arxiv.org·1d
🌈Color Science
libsemigroups: C++ library for semigroups and monoids
github.com·1d·
Discuss: Hacker News, r/cpp
🧮Algebraic Datatypes
How I Won the “Mostly AI” Synthetic Data Challenge
towardsdatascience.com·1h
🌊Streaming Algorithms
A Beginner's Guide to Skyline Queries
hackernoon.com·1d
📏Range Queries
Understanding the Embedding Models on Hyper-relational Knowledge Graph
arxiv.org·22h
🕸️Graph Embeddings
Qualifiers on Hypertext Links (1991)
w3.org·7h·
Discuss: Hacker News
🔗Hypertext Systems
SAT Requires Exhaustive Search
link.springer.com·2d·
Discuss: Hacker News
🧮Kolmogorov Complexity
E-VRAG: Enhancing Long Video Understanding with Resource-Efficient Retrieval Augmented Generation
arxiv.org·1d
📊Learned Metrics
Topolow: Force-Directed Euclidean Embedding of Dissimilarity Data with Robustness Against Non-Metricity and Sparsity
arxiv.org·1d
🌐Computational Topology
A Scalable Machine Learning Pipeline for Building Footprint Detection in Historical Maps
arxiv.org·22h
🤖Paleographic ML
The Core Idea: Finding the Best Separator
dev.to·3d·
Discuss: DEV
🧠Machine Learning
NewsHub - AI-Powered News Aggregation Platform
dev.to·10h·
Discuss: DEV
📡RSS Automation
Show HN: Using DSPy to enrich a dataset of the Nobel laureate network
blog.kuzudb.com·2d·
Discuss: Hacker News
📊Citation Graphs
Data Overdose? Time for a Quadruple Shot: Knowledge Graph Construction using Enhanced Triple Extraction
arxiv.org·22h
🔍Information Retrieval
Graph Embedding in the Graph Fractional Fourier Transform Domain
arxiv.org·1d
📊Spectral Graphs
Machine Learning Fundamentals: model overfitting
dev.to·9h·
Discuss: DEV
🧠Machine Learning
Light-IF: Endowing LLMs with Generalizable Reasoning via Preview and Self-Checking for Complex Instruction Following
arxiv.org·22h
📏Linear Logic
Coherent Multimodal Reasoning with Iterative Self-Evaluation for Vision-Language Models
arxiv.org·22h
📊Learned Metrics