Cactus Language โ€ข Semantics 1
inquiryintoinquiry.comยท14h
๐Ÿ“‹Backus-Naur Form
Highly concurrent in-memory counter in GoLang
engineering.grab.comยท1d
๐Ÿง Memory Models
Audience targeting in Google Ads Search campaigns: How to layer data for better results
searchengineland.comยท18h
๐Ÿ”Search Algorithms
Build a Text-to-SQL System: A Guide to Replicating Pinterestโ€™s Approach
analyticsvidhya.comยท2d
๐Ÿ’พMinimal Databases
Functional Programming Through the Lens of a Philosopher and Linguist
gotopia.techยท1hยท
Discuss: Hacker News
๐ŸŽฎLanguage Ergonomics
Algorithm Showdown: Logistic Regression vs. Random Forest vs. XGBoost on Imbalanced Data
machinelearningmastery.comยท3d
๐ŸŒณPattern Match Compilation
Does anything people ask "surprise" the LLMs?
preview.redd.itยท7hยท
Discuss: r/LLM
โš–๏ธInference Rules
REST Pagination techniques
dev.toยท1dยท
Discuss: DEV
๐Ÿ“ŠQuery Optimizers
I Spent 6 Hours Per Blog Post Until I Built This AI Content Platform
terradium.ioยท1dยท
Discuss: DEV
โšกIncremental Parsing
Characteristic Learning for Provable One Step Generation
arxiv.orgยท2h
๐ŸชœRecursive Descent
Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
arxiv.orgยท2h
๐ŸŒฑMinimal ML
Indexing, Hashing & Query Optimization in DBMS
dev.toยท1dยท
Discuss: DEV
๐Ÿ—„๏ธDatabase Engines
Vector Databases Guide: RAG Applications 2025
dev.toยท4dยท
Discuss: DEV
๐Ÿ”Query Engines
I Made an AI Document Analyzer So You Donโ€™t Have To (But Youโ€™ll Probably Want To)
github.comยท2dยท
Discuss: DEV
๐Ÿ”Tokenizers
On The Fragility of Benchmark Contamination Detection in Reasoning Models
arxiv.orgยท1d
โœ…Type Checking
Vector Index Hygiene: A New Layer Of Technical SEO via @sejournal, @DuaneForrester
searchenginejournal.comยท4d
๐Ÿ”Fuzzy Indexing
Glocal Information Bottleneck for Time Series Imputation
arxiv.orgยท2h
๐ŸชœRecursive Descent
Distilling Reasoning into Student LLMs: Local Naturalness for Selecting Teacher Data
arxiv.orgยท2h
๐ŸŒฑMinimal ML
TrueType rasterizer
github.comยท11hยท
โœจCode Formatters
Beyond Outcome Reward: Decoupling Search and Answering Improves LLM Agents
arxiv.orgยท2h
๐Ÿ’ฌInteractive REPLs