💻 Local LLMs

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

ChatGPT and other AI models can be ‘poisoned’ to spew gibberish, researchers warn
the-independent.com·15h
🔓Hacking
Is GRPO Broken?
neelsomaniblog.com·6h·
Discuss: Hacker News
🧮Kolmogorov Bounds
Why LLMs cannot reach GenAI, but why it looked like they could
haversine.substack.com·9h·
Discuss: Substack
🧠Intelligence Compression
[R] DeepSeek 3.2's sparse attention mechanism
reddit.com·1d·
Discuss: r/MachineLearning
🌀Brotli Internals
Optimal Stopping in Latent Diffusion Models
arxiv.org·1d
🧠Machine Learning
Aligning Large Language Models via Fully Self-Synthetic Data
arxiv.org·2d
🔗Monadic Parsing
Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning
arxiv.org·4d
🧠Machine Learning
Revisiting Mixout: An Overlooked Path to Robust Finetuning
arxiv.org·2d
🧠Learned Codecs
Decentralized Intelligence: Empowering Autonomous Systems with Localized Learning by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🔲Cellular Automata
Get RICH or Die Scaling: Profitably Trading Inference Compute for Robustness
arxiv.org·2d
🧠Intelligence Compression
ECLipsE-Gen-Local: Efficient Compositional Local Lipschitz Estimates for Deep Neural Networks
arxiv.org·3d
🌀Riemannian Computing
Can Speech LLMs Think while Listening?
arxiv.org·1d
🎙️Whisper
Unraveling LCRE-Mediated Chromatin Loops: A Predictive Model for Gene Expression Fine-Tuning in Desert Genomes
dev.to·8h·
Discuss: DEV
📥Feed Aggregation
From Documents to Dialogue: A step-by-step RAG Journey
dev.to·17h·
Discuss: DEV
📊Multi-vector RAG
Quantifying the Accuracy-Interpretability Trade-Off in Concept-Based Sidechannel Models
arxiv.org·3d
🧠Machine Learning
CaRT: Teaching LLM Agents to Know When They Know Enough
arxiv.org·1d
🔲Cellular Automata
From Defender to Devil? Unintended Risk Interactions Induced by LLM Defenses
arxiv.org·1d
✨Effect Handlers
h1: Bootstrapping LLMs to Reason over Longer Horizons via Reinforcement Learning
arxiv.org·2d·
Discuss: Hacker News
✓Automated Theorem Proving
Latency vs. Accuracy for LLM Apps — How to Choose and How a Memory Layer Lets You Win Both
dev.to·3d·
Discuss: DEV
⚡Performance Mythology
Graph-based LLM over Semi-Structured Population Data for Dynamic Policy Response
arxiv.org·3d
🔗Constraint Handling