💻 Local LLMs

Model Quantization, Inference Optimization, GGUF Format, Privacy-preserving AI

Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs
arxiv.org·18h
🔗Parser Combinators
Small language model for secrets detection
wiz.io·2d·
Discuss: Hacker News
🧮Z3 Applications
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·8h
📊Graph Databases
Contextualizing SUTRA: Advancements in Multilingual & Efficient LLMs
hackernoon.com·6h
🌀Brotli Internals
ML in the Home
blog.raymond.burkholder.net·1d
📈Time Series
What LLMs Know About Their Users
schneier.com·11h·
Discuss: Hacker News
📊Feed Optimization
June 25, 2025 Flight Tracking Workshop (4 hour) [Americas / Europe-friendly time]
bellingcat.com·22h
🧮Prolog Parsing
Machine Learning Fundamentals: active learning tutorial
dev.to·6h·
Discuss: DEV
🎛️Feed Filtering
The Internal Inconsistency of Large Language Models
blog.kortlepel.com·1d·
Discuss: Hacker News
🔍Type Inference
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
arxiv.org·1d
⚡Modern Compression
The Bitter Lesson is coming for Tokenization
lucalp.dev·1d·
Discuss: Lobsters, Hacker News, r/programming
🔗Monadic Parsing
SUTRA: Decoupling Concept & Language for Multilingual LLM Excellence
hackernoon.com·6h
🌀Brotli Internals
6 Key Security Risks in LLMs: A Platform Engineer’s Guide
thenewstack.io·1d
🛡️WASM Sandboxing
Programming by Backprop: LLMs Acquire Reusable Algorithmic Abstractions During Code Training
arxiv.org·1d
🔍Type Inference
Privacy-Preserving LLM Interaction with Socratic Chain-of-Thought Reasoning and Homomorphically Encrypted Vector Databases
arxiv.org·1d
🔐Homomorphic Encryption
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models
arxiv.org·18h
🧮Kolmogorov Complexity
Agentic AI: Implementing Long-Term Memory
towardsdatascience.com·1d
💾Persistence Strategies
🚀 Unlocking the Power of Generative AI with LangChain: A Practical Look at LLMs in Action
dev.to·2d·
Discuss: DEV
🌳Context free grammars
May the Feedback Be with You! Unlocking the Power of Feedback-Driven Deep Learning Framework Fuzzing via LLMs
arxiv.org·1d
🐛Fuzzing
Does Multimodal Large Language Model Truly Unlearn? Stealthy MLLM Unlearning Attack
arxiv.org·1d
📊Learned Metrics