💻 Local LLMs

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

An enough week
blog.mitrichev.ch·1d·
Discuss: blog.mitrichev.ch
🧮Z3 Solver
Who watches the watchers? LLM on LLM evaluations
stackoverflow.blog·1d
📏Code Metrics
Tool or Agent? The impact of AI in your code and in your wallet It all boils down to math again!
blog.codeminer42.com·1d
⚡Proof Automation
The key to conversational speech recognition
datasciencecentral.com·1d
🎵Audio ML
Expanding the Action Space of LLMs to Reason Beyond Language
arxiv.org·19h
🌳Context free grammars
OpenAI's inflated valuation, as I understand it
taloranderson.com·7h·
Discuss: Hacker News
🧠Intelligence Compression
How the Rise of Tabular Foundation Models Is Reshaping Data Science
towardsdatascience.com·1d
🧠Machine Learning
[D] Anyone using smaller, specialized models instead of massive LLMs?
reddit.com·1d·
Discuss: r/MachineLearning
🎯Performance Proofs
Show HN: Comparegpt.io – Trustworthy Mode to reduce LLM hallucinations
news.ycombinator.com·22h·
Discuss: Hacker News
🔍BitFunnel
What is a Large Language Model (LLM)
dev.to·6h·
Discuss: DEV
🌀Brotli Internals
AI Guardrails, Gateways, Governance Nightmares
go.mcptotal.io·16h·
Discuss: Hacker News
🎯Threat Hunting
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
arxiv.org·19h
🔗Parser Combinators
The Alignment Auditor: A Bayesian Framework for Verifying and Refining LLM Objectives
arxiv.org·2d
🧮Kolmogorov Complexity
InferenceMAX – open-source Inference Frequent Benchmarking
github.com·3h·
Discuss: Hacker News
⚡Performance Mythology
microsoft/UserLM-8b - “Unlike typical LLMs that are trained to play the role of the 'assistant' in conversation, we trained UserLM-8b to simulate the 'user' rol...
huggingface.co·1d·
Discuss: DEV, Hacker News, r/LocalLLaMA
🎙️Whisper
TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning
arxiv.org·1d
🔨Compilers
100 Poisoned Examples Can Hijack Any AI Model (Even GPT-4-Scale LLMs)
dev.to·1d·
Discuss: DEV
⚡Proof Automation
LLMs Learn to Deceive Unintentionally: Emergent Misalignment in Dishonesty from Misaligned Samples to Biased Human-AI Interactions
arxiv.org·19h
🔲Cellular Automata
Integral Signatures of Activation Functions: A 9-Dimensional Taxonomy and Stability Theory for Deep Learning
arxiv.org·19h
🧠Machine Learning
In-Depth Analysis: "Attention Is All You Need"
dev.to·8h·
Discuss: DEV
🧠Intelligence Compression