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SLUUG Talk: Demystifying Large Language Models on Linux

 🤖AI  Content type: Code
github.com··DEV

Fine tuning classification in Elixir

 🤖Machine Learning
elixirstatus.com·

Using Probabilistic Programs to Train Inductive Reasoning in Large Language Models

 🧠LLMs  Content type: Academic
arxiv.org·

Discrete Diffusion Modelling by Estimating the Ratios of the Data Distribution

 🤖Machine Learning  Content type: News  Content type: Blog

FOD#155: Continual Learning in LLMs: Why AI Models Need Sleep

 🧠LLMs
turingpost.com·

BacteReason: A Reasoning Model for Antimicrobial Resistance Prediction

 🧠LLMs  Content type: Academic
biorxiv.org·

LeLab Is Hugging Face’s New Browser-Based GUI for the LeRobot Ecosystem

 🤖Machine Learning  Content type: News
hackster.io·

Siri AI at WWDC 2026

 🤖Machine Learning

Microsoft just shared the frontier data engineering secrets

 🤖Machine Learning
mail.bycloud.ai·

MOT: a tool to fight openwashing in AI

 🤖Machine Learning
lwn.net·

Research Proposal: Decoupled RISC-LLM Architectures via Circadian Synaptic Consolidation

 🤖AI
aermia.com··Hacker News

ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.

 🤖AI  Content type: Code
github.com··Hacker News

Machine Unlearning: Can Artificial Intelligence Really Forget?

 🤖AI  Content type: Blog
medium.com·

Towards Long-Horizon Vessel Trajectory and Destination Forecasting with Reasoning Large Language Models

 🤖Machine Learning  Content type: Academic
arxiv.org·

AI Paper Review: Training Language Models to Follow Instructions with Human Feedback (InstructGPT)

 💬NLP
freecodecamp.org·

Coelho Mollo and Millière: The Vector Grounding Problem

 🤖AI

Hugging Face Transformers RCE flaw enables stealthy compromise via AI model configs

 🤖Machine Learning
csoonline.com·

New comment by Ishan1907 in "Ask HN: Who wants to be hired? (June 2026)"

 🤖Machine Learning

Critical Hugging Face Transformers flaw ran attacker code on a routine model load

 🤖Machine Learning
siliconangle.com·

Sim2Schedule: A Simulator-Guided LLM Framework for Autonomous Open-Pit Mine Scheduling

 🧠LLMs  Content type: Academic
arxiv.org·

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