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🚀 SIMD Text Processing

Vectorized Parsing, AVX Instructions, Parallel Validation, Performance Optimization

TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill \& Decode Inference
arxiv.org·18h
🚀SIMD Parsing
A Fast Bytecode VM for Arithmetic: The Compiler
abhinavsarkar.net·1d·
Discuss: Lobsters, Hacker News
🔗Functional Compilers
How Tensors Are Changing Search in Life Sciences
thenewstack.io·6h
🗂️Vector Search
How to Benchmark Classical Machine Learning Workloads on Google Cloud
towardsdatascience.com·1h
⚡Performance Mythology
It takes 26 yottabytes of RAM to typecheck a union of Safe Integers
playfulprogramming.com·22h
🧪Binary Fuzzing
Exhaustive Generation of Pattern-Avoiding s-Words
arxiv.org·18h
💾Binary Linguistics
NVFP4 Trains with Precision of 16-Bit and Speed and Efficiency of 4-Bit
developer.nvidia.com·22h·
Discuss: Hacker News
🧠Learned Codecs
Claude Code's 19 cent Parser
blogger.com·9h
🔧Binary Parsers
My Journey with Sentence Transformers, OpenAI Embeddings, and Vector Databases
dev.to·13h·
Discuss: DEV
🗂️Vector Databases
Memory optimizations to reduce CPU costs
ayende.com·11h·
Discuss: Hacker News
📝Text Compression
google/highway
github.com·1d
📊RISC-V Vectors
Writing Speed-of-Light Flash Attention for 5090 in CUDA C++
gau-nernst.github.io·2d·
Discuss: Hacker News
🖥️Terminal Renaissance
[P] aligning non-linear features with your data distribution
reddit.com·11h·
Discuss: r/MachineLearning
🧠Machine Learning
Improving Search for Deep Research Agents
vishnudut.com·51m·
Discuss: Hacker News
🧠Query Planners
Sets & Heaps in Haskell and Rust
mmhaskell.com·13h
🔒Type Safety
LingVarBench: Benchmarking LLM for Automated Named Entity Recognition in Structured Synthetic Spoken Transcriptions
arxiv.org·18h
⚙️Compression Benchmarking
Reformulating web documents into synthetic data addresses the growing limits of AI training data
the-decoder.com·1d
📄Document AI
From Logic to Linear Algebra: How AI Is Rewiring the Computer
journal.hexmos.com·1d·
Discuss: Hacker News, r/programming
🖥️Hardware Architecture
Understanding Convolutions: The Sliding Window of Insight
dev.to·20h·
Discuss: DEV
🧠Machine Learning
Notes on Autograd
aschrein.github.io·3h·
Discuss: Hacker News
⚡Incremental Computation
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