Python PEP 636 – Structural Pattern Matching: Tutorial
peps.python.org·16h·
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💬Interactive REPLs
An alternative to knowledge graphs for storing loosely structured content
fleetingswallow.com·13h·
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🌲Tree Rewriting
LLM-Based Instance-Driven Heuristic Bias in the Context of a BRKGA
researchgate.net·1d·
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🪜Recursive Descent
Unlocking the Power of Search with Regex: A Comprehensive Guide for Developers
dev.to·2h·
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🔤Regex Engines
TypeNet Benchmark for development of authentication keystroke technologies
github.com·1d·
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🌱Minimal ML
Property-based testing of batch-invariant operations
mmaaz.ca·4h·
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🎲Property Testing
Analyzing Latent Concepts in Code Language Models
arxiv.org·3d
🌱Minimal ML
Fun with HyperLogLog and SIMD
vaktibabat.github.io·1d·
Discuss: Hacker News, r/rust
🔢Bit Manipulation
BULaMU-The First Luganda Large Language Model Trained from Scratch
reddit.com·16h·
Discuss: r/LocalLLaMA
🌱Minimal ML
Atomic and Saturated Models
functor.network·2d·
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🔗Concatenative Theory
Recent AI Experiences
lesswrong.com·2d
📝Rope Editors
Eliminating the Precision–Latency Trade-Off in Large-Scale RAG
thenewstack.io·2d
🔍Text Indexing
Java Backend Coding Technology: Writing Code in the Era of AI
central.sonatype.com·2d·
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🎮Language Ergonomics
How to Train an LLM to Do Proofs: Beyond Verifiable Rewards
tobysimonds.com·1d·
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🔍ML Language
Eclectic English Vocab
404wolf.com·2h
🔄Incremental Lexing
Mixture of Experts Implementation using Granite4: Harnessing Specialization with the Latest Granite Family Model
dev.to·14h·
Discuss: DEV
🔍ML Language
Dimensional Analysis in Programming Languages (2018)
gmpreussner.com·8h·
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🔢Algebraic Datatypes
A grand week
blog.mitrichev.ch·14h·
Discuss: blog.mitrichev.ch
🧩Constraint Solvers
Trustworthy Summarization via Uncertainty Quantification and Risk Awareness in Large Language Models
arxiv.org·2d
🌱Minimal ML
Show HN: The Little Book of Maths for LLMs-The maths you need to understand LLMs
little-book-of.github.io·1d·
Discuss: Hacker News, r/LLM
🔍ML Language