Machine Learning Fundamentals: clustering example
dev.to·2d·
Discuss: DEV
📊Vector Quantization
LLaMeSIMD – LLM SIMD Intrinsic and Function Translation Benchmarking Suite
github.com·1d·
Discuss: Hacker News
🚀SIMD Parsing
Superimposed codes, take two
blog.sesse.net·7h
🔢Bitwise Algorithms
Bridging Expressivity and Scalability with Adaptive Unitary SSMs
arxiv.org·23h
💎Information Crystallography
10 NumPy One-Liners to Simplify Feature Engineering
machinelearningmastery.com·15h
🧠Machine Learning
Breakthrough in Semiconductor Technology Paves the Way for Faster 6G Networks
techbriefs.com·12h·
Discuss: Hacker News
🖥️Terminal Renaissance
A Conversation with Val Bercovici about Disaggregated Prefill / Decode
fabricatedknowledge.com·1d
📼Tape Combinators
Writing an LLM from scratch, part 16 -- layer normalisation
gilesthomas.com·8h·
Discuss: Hacker News
📊Quantization
Pytrees for Scientific Python
blog.scientific-python.org·1d
🔗Topological Sorting
Using a Framework Desktop for local AI
frame.work·1d
💻Local LLMs
Fenic: A Cute, PySpark-Inspired DataFrame Framework for AI Workflows
typedef.ai·2h·
Discuss: Hacker News
🌊Stream Processing
AI for the Routine, Humans for the Complex: Accuracy-Driven Data Labelling with Mixed Integer Linear Programming
arxiv.org·23h
🧠Machine Learning
Run Your Python Code up to 80x Faster Using the Cython Library
towardsdatascience.com·22h
⚡SIMD Optimization
Context Kills VRAM: How to Run LLMs on consumer GPUs | by Lyx | May, 2025 | Medium
medium.com·1d
💨Cache Optimization
GPUs go brrr with Mojo – Fundamentals
shubhamg.in·2d·
Discuss: Hacker News
📊RISC-V Vectors
RVISmith: Fuzzing Compilers for RVV Intrinsics
arxiv.org·23h
🐛Fuzzing
Activation Steering for Chain-of-Thought Compression
arxiv.org·23h
⧗Information Bottleneck
The REM-arkable Misadventures of LIST
masswerk.at·22h·
Discuss: Hacker News
📺VT100
The Engineering Behind Fast Analytics: Columnar Storage Explained
outofdesk.netlify.app·11h·
Discuss: Hacker News
🗃️Database Storage
Interleaving Logic and Counting
arxiv.org·23h
📜Manuscript Algebras