📄 Text Chunking

Semantic Segmentation, Context Windows, Document Boundaries, Retrieval Units

Attackers Season Spam With a Touch of 'Salt'
darkreading.com·52m
📡Feed Security
Efficiently Updatable Neural Network (NNUE)
beuke.org·1d
📊Quantization
valuetier.org (and some thoughts on LLMs)
ericphanson.com·2d·
Discuss: Lobsters, Hacker News
🌀Brotli Internals
Static Bundle Object: Modernizing Static Linking
medium.com·7h·
Discuss: Hacker News
🔗Static Linking
Towards a Typology of LLM Chains-of-Thought
1a3orn.com·1d·
Discuss: Hacker News
🌳Context free grammars
🧩 The "Merging Maze": Designing a Neural Network for Unified
dev.to·5h·
Discuss: DEV
🕸️Graph Embeddings
Training Dynamics of Parametric and In-Context Knowledge Utilization in Language Models
arxiv.org·1d
🌲Parse Trees
Lightweight Prompt Engineering for Cognitive Alignment in Educational AI: A OneClickQuiz Case Study
arxiv.org·18h
🤖AI Curation
On Using Large Language Models to Enhance Clinically-Driven Missing Data Recovery Algorithms in Electronic Health Records
arxiv.org·18h
🔍Information Retrieval
Automated Artifact Detection & Classification in Microscopy Image Datasets
dev.to·3d·
Discuss: DEV
📄Document Digitization
Optimizing Long-Form Clinical Text Generation with Claim-Based Rewards
arxiv.org·1d
📋Document Grammar
Build a Perfect Blog with FastAPI: Full-Text Search for Posts
dev.to·3h·
Discuss: DEV
📰RSS Feed Discovery
Characteristic Learning for Provable One Step Generation
arxiv.org·18h
🤖Grammar Induction
Revealing Interconnections between Diseases: from Statistical Methods to Large Language Models
arxiv.org·18h
🧠Machine Learning
MetaFind: Scene-Aware 3D Asset Retrieval for Coherent Metaverse Scene Generation
arxiv.org·18h
🏛Digital humanities
Forking-Sequences
arxiv.org·18h
🌸Bloom Variants
RAG LLM: Why Your AI Costs 10x More Than It Should (And How to Fix It)
dev.to·3d·
Discuss: DEV
🌀Brotli Internals
From Moments to Models: Graphon Mixture-Aware Mixup and Contrastive Learning
arxiv.org·18h
🧠Machine Learning
A Trustworthy Industrial Fault Diagnosis Architecture Integrating Probabilistic Models and Large Language Models
arxiv.org·18h
🧠Machine Learning
Java Backend Coding Technology: Writing Code in the Era of AI #Version 1.1
dev.to·1d·
Discuss: DEV
⚡SMT Applications