🔍 Tokenizers

Lexical Analysis, Token Recognition, State Machines, Parsing Pipeline

I really need a good carrier advice. Wasted so much time already.
aleksanderjalo.github.io·20h·
Discuss: r/gamedev
💬Error Message Design
I struggle to find old messages in ChatGPT conversations
ai-answer-saver.vercel.app·3d·
Discuss: Hacker News, r/ClaudeAI
🔄Incremental Tokenizers
One model is not enough, too many models is hard: Technical deep dive
developers.redhat.com·2d
📦Dependency Analysis
MCP Servers for Rust Developers
shuttle.dev·1d
🚂Cranelift Backend
Weeknotes #345 — Bath full of bricks
andrewdoran.uk·1d
💬Interactive REPLs
Do language models favor their home countries?
misinforeview.hks.harvard.edu·1d·
Discuss: Hacker News
📊LR Parsing
Companies Will Soon Be Forced to Rehire Real Human Programmers and Stop Burning Cash on AI
hackernoon.com·1d
⚡Incremental Parsing
resterm: terminal-first client for working HTTP, GraphQL, and gRPC
reddit.com·16h·
Discuss: r/golang
🌐Network Protocols
Knowledge regroupment and preference calibration framework for unpredicted fault diagnosis under unknown working conditions
sciencedirect.com·2d
🚂Error Propagation
Optimal Stopping in Latent Diffusion Models
arxiv.org·20h
🗺️Region Inference
finished the prototype, guys! It works!
reddit.com·1d·
Discuss: r/LocalLLaMA
🌱Minimal ML
neverthrow - tutorial (with a bit of "byethrow")
dev.to·2d·
Discuss: DEV
🛡️Error Handling
Grouped Differential Attention
arxiv.org·1d
📐Succinct Data Structures
A Fuzzy Logic-Based Framework for Explainable Machine Learning in Big Data Analytics
arxiv.org·2d
🔍Fuzzy Indexing
Grok Code Fast 1 is Now Available in Visual Studio Code—And It's Actually Pretty Good
dev.to·1d·
Discuss: DEV
🎮Language Ergonomics
Tired of TypeScript? Why ReScript Finally Clicked for Me (Narrative)
dev.to·1d·
Discuss: DEV
🌈Gradual Languages
I created and open sourced an LLM and backend orchestration system
reddit.com·1d·
Discuss: r/golang
📋Tablegen
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
🦀MIR Optimization
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·10h·
Discuss: DEV
🦀MIR Optimization
Nvidia researchers boost LLMs reasoning skills by getting them to 'think' during pre-training
venturebeat.com·1d
🪜Recursive Descent