Machine Learning Fundamentals: dimensionality reduction
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📐Linear Algebra
maxsim-cpu: Maximising Maxsim Efficiency
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🌊Streaming Algorithms
[$] Scheduler medley: time-slice extension, sched_ext deadline servers, and LRU batching.
lwn.net·2h
🐚Bash Combinators
Machine Learning Fundamentals: dimensionality reduction tutorial
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📐Vector Dimensionality
Using LLVM To Supercharge AI Model Execution On Edge Devices
hackernoon.com·7h
🏭Compiler Backends
Python `apply()` vs. `apply_async()`: Which Should You Use?
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🌊Stream Processing
SIEVE: Effective Filtered Vector Search with Collection of Indexes
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🗂️Vector Databases
'The biggest speedup I've seen so far' — FFmpeg devs boast of another 100x leap thanks to handwritten assembly code
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🎬AV1 Encoding
Reactive Java Operator-fusion (2016)
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✨Algebraic Effects
Show HN: I built an SDK for building an AI RAG app with Supabase and pgvector
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🌀Brotli Internals
A Programmer’s Guide to x86-64 Assembly (Series Overview)
blog.codingconfessions.com·1d
🔧RISC-V Assembler
Turbocharged Storage: MinIO, KIOXIA, and AMD team up to take on AI
blog.min.io·17h
🧲RISC-V Preservation
Machine Learning Fundamentals: dimensionality reduction example
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📐Vector Dimensionality
Revisiting k-Means: 3 Approaches to Make It Work Better
machinelearningmastery.com·1d
📊Vector Quantization
Book Notes: The Dark Art of Linear Algebra by Seth Braver — Chapter 1 Review
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📐Mathematical Art
Approximate First Principal Component
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📐Vector Dimensionality
Rethinking Distributed Computing for the AI Era
cacm.acm.org·21h
⚡Incremental Computation
Cheating? Or the acumen of modern programming? FOSS, "AI", and human conscience
gist.github.com·14h·
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🔗Concatenative Programming
Building enterprise-scale RAG applications with Amazon S3 Vectors and DeepSeek R1 on Amazon SageMaker AI
aws.amazon.com·4h
🔌Archive APIs
Binary Search in a 2D Matrix
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📐Error Bounds