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SLUUG Talk: Demystifying Large Language Models on Linux

 💬LLMs  Content type: Code
github.com··DEV

Fine tuning classification in Elixir

 ⚙️ML Engineering
elixirstatus.com·

The Emergence of Reproducibility and Generalizability in Diffusion Models

 🧠AI Research  Content type: Academic
arxiv.org·

Discrete Diffusion Modelling by Estimating the Ratios of the Data Distribution

 ⚙️ML Engineering  Content type: News  Content type: Blog

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

 ⚙️ML Engineering
turingpost.com·

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

 🔓Open Source AI  Content type: News
hackster.io·

BacteReason: A Reasoning Model for Antimicrobial Resistance Prediction

 🔓Open Source AI  Content type: Academic
biorxiv.org·

Microsoft just shared the frontier data engineering secrets

 🔓Open Source AI
mail.bycloud.ai·

Siri AI at WWDC 2026

 ⚙️ML Engineering

PyTorch Tensors: The Data Structure Behind Deep Learning

 ⚙️ML Engineering  Content type: Video
youtube.com·

Apple rebuilt its on-device AI stack at WWDC 2026

 ⚙️ML Engineering  Content type: Blog
ziraph.com··Hacker News

What's in the Box? A Field Guide to AI Models

 🔓Open Source AI  Content type: Blog
iankduncan.com·

MOT: a tool to fight openwashing in AI

 🔓Open Source AI
lwn.net·

Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning

 ⚙️ML Engineering  Content type: Academic
arxiv.org·

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

 ⚙️ML Engineering

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

 💬LLMs
aermia.com··Hacker News

Machine Unlearning: Can Artificial Intelligence Really Forget?

 ⚙️ML Engineering  Content type: Blog
medium.com·

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

 💬LLMs
freecodecamp.org·

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.

 ⚙️ML Engineering  Content type: Code
github.com··Hacker News

Conditional Vendi Score: Prompt-Aware Diversity Evaluation for Generative AI Models and LLMs

 💬LLMs  Content type: Academic
arxiv.org·

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