🔱 Galois Theory

Field Extensions, Error Correction, Algebraic Structures, Abstract Algebra

Your LLM Won’t Stop Lying Any Time Soon
hackaday.com·13h
💻Local LLMs
Publishing my bachelor's thesis in applied mathematics
timktitarev.wordpress.com·22h·
Discuss: Hacker News, Hacker News
📐Linear Algebra
GHC Developer Blog: GHC 9.14.1-alpha3 is now available
haskell.org·2d
🔗Functional Compilers
Erlang-Red Walkthrough – Visual FBP for Telecom: Diameter AAA on Erlang/OTP
blog.tadsummit.com·1d·
Discuss: Hacker News
🌐Protocol Synthesis
Integral Signatures of Activation Functions: A 9-Dimensional Taxonomy and Stability Theory for Deep Learning
arxiv.org·1d
🧠Machine Learning
Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
arxiv.org·2d
🧠Learned Indexes
Programmer in Wonderland
binaryigor.com·1d·
Discuss: Hacker News
🔩Systems Programming
IASC: Interactive Agentic System for ConLangs
arxiv.org·1d
🌳Context free grammars
Sorting encrypted data without decryption: a practical trick
dev.to·1d·
Discuss: DEV
🔐Hash Functions
Building Self-Correcting Database Agents with Meta's Llama-4-Scout: From Natural Language to SQL Insights
dev.to·2d·
Discuss: DEV
🗄️Database Internals
Contrastive Weak-to-strong Generalization
arxiv.org·1d
⧗Information Bottleneck
Show HN: Prompts to make AI impersonate 10 programming legends
ai-impersonator.blueprintlab.io·6h·
Discuss: Hacker News, r/ClaudeAI
🎙️Whisper
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG
The Library Method: Understanding @cache
dev.to·1d·
Discuss: DEV
⚡Cache Theory
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·13h·
Discuss: DEV
🎵Audio ML
Automated Design of Peptide-Based Drug Candidates via Constrained Generative Adversarial Networks
dev.to·8h·
Discuss: DEV
🔍Vector Forensics
Automated Graph Neural Network Calibration for Robust Decentralized Sensor Fusion
dev.to·7h·
Discuss: DEV
🤝Consensus Networks
Revisiting Mixout: An Overlooked Path to Robust Finetuning
arxiv.org·2d
🧠Learned Codecs
In-Depth Analysis: "Attention Is All You Need"
dev.to·1d·
Discuss: DEV
🧠Intelligence Compression
SPAD: Specialized Prefill and Decode Hardware for Disaggregated LLM Inference
arxiv.org·1d·
Discuss: r/LLM
💻Local LLMs