🧠 Learned Indexing

ML-assisted Data Structures, Neural B-trees, Database Optimization, Adaptive Structures

As AI Kills Search Traffic, Google Launches Offerwall To Boost Publisher Revenue
tech.slashdot.org·1d
🔍BitFunnel
Adaptive, simplified design system colors
gfor.rest·16h·
Discuss: Lobsters, Hacker News
📖Nordic Typography
Institutional Knowledge Is Walking Out the Door–Capture It Before It's Gone
ordinalforgov.com·7h·
Discuss: Hacker News
🔗Constraint Handling
[R] You can just predict the optimum (aka in-context Bayesian optimization)
reddit.com·1d·
Discuss: r/MachineLearning
📊Quantization
Data Types, Data Structures, and Abstract Data Types – What’s the Difference
dev.to·19h·
Discuss: DEV
🧮Algebraic Datatypes
Agentic Search for Dummies
benanderson.work·5d·
Discuss: Hacker News
🔍Information Retrieval
Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models
arxiv.org·1d
💻Local LLMs
Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy
arxiv.org·18h
🛡️Differential Privacy
Predictive Analytics for Collaborators Answers, Code Quality, and Dropout on Stack Overflow
arxiv.org·3d
📊Feed Optimization
Fast entropy-regularized SDP relaxations for permutation synchronization
arxiv.org·1d
🎯Performance Proofs
Mastering JavaScript forEach: A Developer's Guide
dev.to·4h·
Discuss: DEV
🔗Concatenative Programming
The Unspoken Engineering Trade-offs in Large-Scale Vector Search
dev.to·1d·
Discuss: DEV
🗂️Vector Databases
LLMs for Customized Marketing Content Generation and Evaluation at Scale
arxiv.org·3d
📊Feed Optimization
Argumentative Ensembling for Robust Recourse under Model Multiplicity
arxiv.org·1d
🔗Parser Combinators
Generalizable Neural Electromagnetic Inverse Scattering
arxiv.org·18h
🧠Neural Compression
Powering Smarter AI with Precision — Image Data Annotation at AkbhcodeAI
dev.to·3d·
Discuss: DEV
🤖Advanced OCR
Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production Challenges
arxiv.org·1d
🧮Theorem Proving
The Building Blocks - Understanding MCP, Agents, and LLMs (Part 2/5)
dev.to·2h·
Discuss: DEV
🔗Constraint Handling
Exploring Modern Warehousing and Data Mining
dev.to·2d·
Discuss: DEV
🧬PostgreSQL Forensics
Development of MR spectral analysis method robust against static magnetic field inhomogeneity
arxiv.org·18h
🧲Magnetic Resonance