Diving deep into Binius M3 arithmetization using Merkle tree inclusion as an example
blog.lambdaclass.comยท2d
๐ŸŒณArchive Merkle Trees
Brent Yorgey: Competitive programming in Haskell: range queries, classified
byorgey.github.ioยท2d
ฮปLambda Encodings
Regular Tree Search for Simulation Optimization
arxiv.orgยท1d
๐ŸŒฒB-tree Variants
Local Elasticsearch Playground: A Practical Introduction and hands-on test (and moving to a RAG solution)
dev.toยท1dยท
Discuss: DEV
๐ŸบZIP Archaeology
Machine Learning Fundamentals: active learning
dev.toยท1dยท
Discuss: DEV
๐Ÿค–Grammar Induction
Is SPL more difficult or easier than SQL?
github.comยท11hยท
Discuss: Hacker News
โ›๏ธSQL Archaeology
CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models
arxiv.orgยท1d
๐Ÿ”Information Retrieval
Scaling Pinterest ML Infrastructure with Ray: From Training to End-to-End ML Pipelines
medium.comยท1dยท
Discuss: Hacker News
๐ŸงฎZ3 Applications
LLMs for Customized Marketing Content Generation and Evaluation at Scale
arxiv.orgยท1d
๐Ÿ“ŠFeed Optimization
Could Open Table Formats End the Reign of Snowflake and Databricks?
prequel.coยท2hยท
Discuss: Hacker News
๐Ÿ“šMARC Evolution
Real-world performance comparison of ebtree/cebtree/rbtree
wtarreau.blogspot.comยท2dยท
Discuss: wtarreau.blogspot.com, Hacker News
๐ŸŒฒB-tree Variants
A Briefing on Logistic Regression
blog.engora.comยท7hยท
Discuss: Hacker News
๐Ÿง Machine Learning
Lower Bounds for Conjunctive Query Evaluation
arxiv.orgยท1d
๐ŸงฎKolmogorov Complexity
Text2Struct: A Machine Learning Pipeline for Mining Structured Data from Text
arxiv.orgยท1d
๐Ÿ”คCharacter Classification
Algorithm Complexity: Time, Space, and Big-O Notation
dev.toยท10hยท
Discuss: DEV
๐ŸงฎKolmogorov Complexity
๐Ÿ” Find All K-Distant Indices in an Array โ€“ LeetCode 2200 (C++ | Python | JavaScript)
dev.toยท1dยท
Discuss: DEV
๐Ÿ“ŠAPL Heritage
Big Data Fundamentals: big data tutorial
dev.toยท1dยท
Discuss: DEV
๐Ÿ—„๏ธDatabase Sharding
Predictive Analytics for Collaborators Answers, Code Quality, and Dropout on Stack Overflow
arxiv.orgยท1d
๐Ÿ“ŠFeed Optimization
A Principled Approach to Randomized Selection under Uncertainty
arxiv.orgยท16h
๐ŸŒธBloom Variants
Driving cost-efficiency and speed in claims data processing with Amazon Nova Micro and Amazon Nova Lite
aws.amazon.comยท3h
๐ŸŒŠStream Processing