IBM introduces Granite 4 language models
techzine.eu·6h
🏁Language Benchmarks
Writing a Dictation Application
osada.blog·18h
📚Self-Documenting Code
Behavior Best-of-N achieves Near Human Performance on Computer Tasks
lesswrong.com·20h
🏰Capability Machines
Dimensional Analysis in Programming Languages (2018)
gmpreussner.com·18h·
Discuss: Hacker News
🔢Algebraic Datatypes
What Makes a Language Look Like Itself?
towardsdatascience.com·3d
Tokenizer Benchmarks
Highly concurrent in-memory counter in GoLang
engineering.grab.com·13h
🧠Memory Models
Title: A Comprehensive Guide to Learning Python for Machine Learning
dev.to·1d·
Discuss: DEV
🌱Minimal ML
Automated Knowledge Graph Validation and Enhancement via Adaptive Semantic Refinement
dev.to·1d·
Discuss: DEV
🧠Semantic Parsing
Algorithm Showdown: Logistic Regression vs. Random Forest vs. XGBoost on Imbalanced Data
machinelearningmastery.com·2d
🌳Pattern Match Compilation
Java Annotated Monthly – October 2025
blog.jetbrains.com·5h
💬Smalltalk VMs
Memorizing a list of seed words
johndcook.com·16h·
Discuss: Hacker News
🪢Rope Data Structures
Custom AI Solutions vs Off-the-Shelf AI: Which Is Right for You?
clickittech.com·1d·
Discuss: DEV
🎭Program Synthesis
The Inverse Matrix problem
talesfrom.dev·13h
🚂Error Propagation
2 Math Problems Fall to LLM: Tsumura's 554 solved, Majority Optimality Disproved
nednex.com·3h·
Discuss: Hacker News
🧮Theorem Provers
The Secret to Efficient RAG: A Step-by-Step Guide to Chunking and Counting Your Vectors
dev.to·4d·
Discuss: DEV
🚀Tokenizer Performance
Eliminating the Precision–Latency Trade-Off in Large-Scale RAG
thenewstack.io·2d
🔍Text Indexing
Why LLMs Hallucinate on Emojis (And 4 Tokens That Break Production AI)
dev.to·7h·
Discuss: DEV
🌊Gradual Effects
why & how i learnt ML
abinesh-mathivanan.vercel.app·1d·
Discuss: r/programming
🔍ML Language