Experimenting with Apple’s AI models inside Shortcuts
sixcolors.com·12h
⚡Proof Automation
BNFGen: A random text generator based on context-free grammars
baturin.org·9h·
Discuss: Hacker News
🌳Context free grammars
I Figured Out What the Voynich Manuscript Says; It's Something More Than Words
dmerullo.substack.com·12h·
Discuss: Substack
🏰Manuscript Networks
StoryGem: Voronoi treemap Approach for Semantics-Preserving Text Visualization
arxiv.org·1d
🔶Voronoi Diagrams
I wrote my PhD Thesis in Typst
fransskarman.com·3d·
Discuss: Lobsters, Hacker News
📝Concrete Syntax
Things stech writers shouldn't care about yet
passo.uno·2d·
Discuss: Hacker News
📚MARC Evolution
Writing Toy Software Is a Joy
quiz.businessexplain.com·21m·
Discuss: Hacker News
🔩Systems Programming
[Project] EPL 2024/25 Season Team Performance Dashboard (Python · Streamlit · Tableau · Power BI)
dev.to·4h·
Discuss: DEV
🔃Feed Algorithms
Automating Persona Enriched Prompting
maxirwin.com·2d·
Discuss: Hacker News
🕵️Metadata Mining
LLMs for Customized Marketing Content Generation and Evaluation at Scale
arxiv.org·1d
📊Feed Optimization
Text2Struct: A Machine Learning Pipeline for Mining Structured Data from Text
arxiv.org·1d
🔤Character Classification
PDF Retrieval Augmented Question Answering
arxiv.org·1d
📊Multi-vector RAG
Unveiling Insights: 18 Essential Resources for Exploratory Data Analysis (EDA)
dev.to·20h·
Discuss: DEV
⛏️Archive Mining
Why Your Next LLM Might Not Have A Tokenizer
towardsdatascience.com·1d
🤖Grammar Induction
The Nature of Lisp, Code Generation and Wieldable Programming Power
pankajpipada.com·17h·
Discuss: Hacker News, r/programming
🔗Lisp
Pure UI
rauchg.com·12h·
Discuss: Hacker News
🎨Nordic Design
AMF-MedIT: An Efficient Align-Modulation-Fusion Framework for Medical Image-Tabular Data
arxiv.org·23h
🤖Advanced OCR
Multimodal Political Bias Identification and Neutralization
arxiv.org·1d
🤖Advanced OCR
Retrieval-Augmented Generation (RAG) System Architecture and Workflow
dev.to·1d·
Discuss: DEV
🔍Information Retrieval
Markov-Enhanced Clustering for Long Document Summarization: Tackling the 'Lost in the Middle' Challenge with Large Language Models
arxiv.org·1d
📄Text Chunking