Concurrent Linguistic Error Detection (CLED): a New Methodology for Error Detection in Large Language Models
arxiv.orgยท17h
๐ŸงชParser Testing
Duolingo: AI Hyperscaler At A Discount - Seeking Alpha
news.google.comยท3h
๐Ÿ“ŠLR Parsing
RAG Explained: Understanding Embeddings, Similarity, and Retrieval
towardsdatascience.comยท2h
๐Ÿ“Text Algorithms
Such a Classic
blog.hermesloom.orgยท2hยท
Discuss: Hacker News
โš–๏ธWeighted Automata
DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning
nature.comยท5hยท
Discuss: Hacker News
๐ŸชœRecursive Descent
Semantic Dictionary Encoding
falvotech.comยท2dยท
Discuss: Hacker News
๐Ÿ—‚๏ธType Indexing
Small Language Model (SML) - The future of Local AI (Part 1)
dev.toยท3hยท
Discuss: DEV
๐Ÿ’ฌSmalltalk VMs
2025-09-17: Classic Machine Learning Models and XAI Methods
ws-dl.blogspot.comยท1hยท
๐Ÿ”ML Language
Making LLMs more accurate by using all of their layers
research.googleยท4h
๐Ÿ“ŠLR Parsing
Does Language Model Understand Language?
arxiv.orgยท17h
๐Ÿ”ML Language
Python Morsels: Nested list comprehensions
pythonmorsels.comยท18h
๐Ÿ’ฌInteractive REPLs
I got the highest score on ARC-AGI again swapping Python for English
jeremyberman.substack.comยท19hยท
Discuss: Substack
๐ŸชœRecursive Descent
Brzozowski Derivatives: An Exercise in Combinatory Style
blog.zdsmith.comยท1dยท
๐ŸชOCaml
How to post-train LLM with tokenizer replacement?
reddit.comยท10hยท
Discuss: r/LocalLLaMA
๐ŸงชParser Testing
System Instruction Fixed Point
funcall.blogspot.comยท1dยท
๐Ÿ’ฌInteractive REPLs
Show HN: Keplar โ€“ Voice AI for qualitative research at quantitative scale
keplar.ioยท44mยท
Discuss: Hacker News
๐Ÿ”„Incremental Tokenizers
Learning Rust and a bit unclear about an exercise on Exercism
exercism.orgยท1dยท
Discuss: r/rust
๐Ÿฆ€Rust Macros
Fluid language model benchmarking
allenai.orgยท1d
๐ŸLanguage Benchmarks
An Introduction to Speculative Decoding for Reducing Latency in AI Inference
developer.nvidia.comยท1d
๐Ÿš€Tokenizer Performance
๐Ÿ“ฃ Just announced: IBM Granite-Docling: End-to-end document understanding with one tiny model
dev.toยท2hยท
Discuss: DEV
๐Ÿ”„Incremental Lexing