Slashing CI Costs at Uber
uber.comยท4hยท
Discuss: Hacker News
๐Ÿ”„Reproducible Builds
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
arxiv.orgยท1d
โšกModern Compression
Machine Learning Fundamentals: accuracy with python
dev.toยท23hยท
Discuss: DEV
๐Ÿ‘๏ธObservatory Systems
Ergo IRC server
notes.billmill.orgยท1d
๐ŸŒŠStreaming Systems
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.ioยท46m
๐Ÿ“ŠGraph Databases
Scaling Pinterest ML Infrastructure with Ray: From Training to End-to-End ML Pipelines
medium.comยท22hยท
Discuss: Hacker News
๐ŸงฎZ3 Applications
PEGTL -- Parsing Expression Grammar Template Library
github.comยท15hยท
Discuss: Hacker News
๐Ÿ”—Parser Combinators
Why Your Next LLM Might Not Have A Tokenizer
towardsdatascience.comยท19h
๐Ÿค–Grammar Induction
The collective waste caused by poor documentation
shanrauf.comยท13hยท
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๐Ÿ“ฆDeflate
CodeMorph: Mitigating Data Leakage in Large Language Model Assessment
arxiv.orgยท1d
๐Ÿ’ปLocal LLMs
Meet Mojo: The Language That Could Replace Python, C++, and CUDA
hackernoon.comยท7h
โฌ†๏ธLambda Lifting
[R] [ClsToken, AvgPool] can be a poor choice for transformer embedding models
reddit.comยท2dยท
Discuss: r/MachineLearning
๐ŸŒŠStreaming Compression
End of the line for coding LLMs will do a better job. How do I pay my mortgage?
daniel-payne-keldan-systems.medium.comยท1dยท
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๐Ÿด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟScottish Computing
AViLA: Asynchronous Vision-Language Agent for Streaming Multimodal Data Interaction
arxiv.orgยท1d
๐Ÿ“„Document Streaming
Towards Deeper GCNs: Alleviating Over-smoothing via Iterative Training and Fine-tuning
arxiv.orgยท1d
๐Ÿ“ŠLearned Metrics
PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries
arxiv.orgยท1d
๐Ÿš€SIMD Text Processing
Debugging memory leaks in Postgres, jemalloc edition
enterprisedb.comยท1dยท
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๐Ÿ—„๏ธPostgreSQL WAL
How much slower is random access, really?
samestep.comยท1dยท
Discuss: Hacker News
๐Ÿ“ผTape Encoding
LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning
arxiv.orgยท1d
๐Ÿ“Concrete Syntax
Kernel Limit of Recurrent Neural Networks Trained on Ergodic Data Sequences
arxiv.orgยท1d
๐Ÿง Neural Codecs