Defining a Standard Taxonomy for Segmentation
blogs.cisco.com·8h
🛡️Security Type Systems
Functional correctness -- Haskell-ing your way to reliable code (hackover2024)
cdn.media.ccc.de·1d
⚡functional programming
Real-Time AI-Powered DDoS Detection
timeplus.com·5h·
Discuss: Hacker News
📮Persistent Queues
The Danger of High (or Small) Numbers In Your Computer And ML Models
pub.towardsai.net·22h
🎯Bit Vectors
valuetier.org (and some thoughts on LLMs)
ericphanson.com·2d·
Discuss: Lobsters, Hacker News
📚Self-Documenting Code
A Primer on Memory Consistency and Cache Coherence, Second Edition
link.springer.com·2d·
Discuss: r/programming
🧠Memory Models
Vector Trifference
arxiv.org·16h
🎯Bit Vectors
Grokipedia and the New Era: When Building a Wikipedia Becomes Trivially Easy
dev.to·1h·
Discuss: DEV
🏠indieweb
Indexing, Hashing & Query Optimization in SQL
dev.to·2d·
Discuss: DEV
📈Query Optimization
Fundamentals metrics for Software Engineering derived from Math Statistics
dev.to·2d·
Discuss: DEV
🔗Hash Functions
there's so much content on how to build AI agents, but no one ever talks about the data engineering pipelines that support them
threadreaderapp.com·3h
🧠Semantic Parsing
Contrastive Learning in Feature Spaces: Your Practical Guide to Better Representations
dev.to·13h·
Discuss: DEV
🪜Recursive Descent
The CMO & SEO: Staying Ahead Of The Multi-AI Search Platform Shift (Part 2)
searchenginejournal.com·1d
🔍Search Algorithms
IndiCASA: A Dataset and Bias Evaluation Framework in LLMs Using Contrastive Embedding Similarity in the Indian Context
arxiv.org·1d
🔍ML Language
Day 25 of 90 day python series..
dev.to·10h·
Discuss: DEV
💬Interactive REPLs
"Understanding 6 Common Data Formats in Cloud-Based Data Analytics"
dev.to·6h·
Discuss: DEV
📊DataFrame Types
🔍 Syncing SharePoint with Azure Blob Storage using Logic Apps & Azure Functions for Azure AI Search
dev.to·7h·
Discuss: DEV
💬Smalltalk VMs
Flamed-TTS: Flow Matching Attention-Free Models for Efficient Generating and Dynamic Pacing Zero-shot Text-to-Speech
arxiv.org·1d
📊LR Parsing
SQL Indexing, Hashing & Query Optimization
dev.to·2d·
Discuss: DEV
📈Query Optimization
GAS-MIL: Group-Aggregative Selection Multi-Instance Learning for Ensemble of Foundation Models in Digital Pathology Image Analysis
arxiv.org·16h
🔍ML Language