[R] [ClsToken, AvgPool] can be a poor choice for transformer embedding models
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๐ŸŒŠStreaming Compression
Solving LinkedIn Queens Using Haskell
imiron.ioยท1dยท
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ฮปLambda Formalization
End of the line for coding LLMs will do a better job. How do I pay my mortgage?
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๐Ÿด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟScottish Computing
Efficient stream-based Max-Min diversification with minimal failure rate
arxiv.orgยท1d
๐ŸŒธBloom Variants
Ask HN: Feedback on "QSS" โ€“ A Quantized Vector Search Engine in C
news.ycombinator.comยท1dยท
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๐Ÿ—‚๏ธVector Databases
Focus Your Attention: Towards Data-Intuitive Lightweight Vision Transformers
arxiv.orgยท1d
๐Ÿ”„Lens Laws
A large deviation view of \emph{stationarized} fully lifted blirp interpolation
arxiv.orgยท14h
๐Ÿ“Compression Bounds
Modeling the World in 280 Characters
tympanus.netยท2dยท
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โŸทBidirectional Programming
Building a Go Concurrency Task Scheduler: Efficient Task Processing Unleashed
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๐ŸŒŠStream Processing
A Briefing on Logistic Regression
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๐Ÿง Machine Learning
The most efficient algorithm for detecting claws in general graphs, with a runtime of O(m ฮ”) โ€” where m is the number of edges and ฮ” is the maximum degree โ€” is n...
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๐Ÿ”—Topological Sorting
Using Wavelets and Clustering to Predict Odd or Even Numbers: An Overengineered Approach with Pretty (But Confusing) Plots
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๐Ÿง Machine Learning
Flame Graph Performance Truth Analysis๏ผˆ1750839255230100๏ผ‰
dev.toยท9hยท
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โšกPerformance Tools
The Internal Inconsistency of Large Language Models
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๐Ÿ’ปLocal LLMs
Fast Rate Information-theoretic Bounds on Generalization Errors
arxiv.orgยท1d
โง—Information Bottleneck
Optimal Parallel Algorithms for Convex Hulls in 2D and 3D under Noisy Primitive Operations
arxiv.orgยท1d
๐Ÿ“ŠComputational Geometry
The Power of Strong Linearizability: the Difficulty of Consistent Refereeing
arxiv.orgยท1d
๐ŸŽฏPerformance Proofs
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.orgยท14h
๐Ÿง Machine Learning
UltraSketchLLM: Saliency-Driven Sketching for Ultra-Low Bit LLM Compression
arxiv.orgยท1d
๐Ÿ—œ๏ธLZW Variants
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
arxiv.orgยท14h
๐ŸŽ›๏ธFeed Filtering