ML Engineering

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The latest Gemma 4 models use a training trick to slash their on-device memory footprint

 🔓Open Source AI
androidauthority.com·

google/gemma-4-31B-it · fix: chat template — null handling, reasoning preservation, turn-tag balance, input validation

 💬LLMs
huggingface.co··r/LocalLLaMA

Trainable Smooth-Rotation Transforms with Learned Channel Scales for LLM Quantization

 💬LLMs  Content type: Academic
arxiv.org·

Xiaomi MiMo-V2.5-Pro Just Hit 1,000 Tokens Per Second!

 🤖ai
gizchina.com·

NVIDIA Nsight Compute

 ⚡Software Perf
developer.nvidia.com·

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

 🤖ai  Content type: Blog
iankduncan.com·

Backpropagation Without the Magic: A First-Principles Derivation

 💬LLMs  Content type: Blog
medium.com
·

Add in-memory patching for alignments · OHF-Voice/piper1-gpl@002729a

 💬LLMs  Content type: Code
github.com·

Speculators v0.5.0: DFlash support and online training

 🤖ai
developers.redhat.com·

The Order Matters: Sequential Fine-Tuning of LLaMA for Coherent Automated Essay Scoring

 🤖ai  Content type: Academic
arxiv.org·

How we fight GPU scarcity without compromise

 ⚡Software Perf  Content type: Blog
equixly.com··Hacker News

Unsloth Gemma 4 QAT

 🔓Open Source AI
unsloth.ai·

LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization

 🧠AI Research  Content type: Academic
arxiv.org·

Build a Medical Report Analyzer on Dedicated Inference with Python

 🤖ai
digitalocean.com·

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

 🤖ai
drive.google.com··Hacker News

I stopped using most of Rust’s advanced features for my ML library

 🤖ai  Content type: Code
github.com··r/rust

tensor product of stable (infinity,1)-categories in nLab

 💬LLMs
ncatlab.org·

Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning

 🤖ai  Content type: Academic
arxiv.org·

GPU Servers for Best Performance

 🤖ai
leaseweb.com··DEV

**PyTorch Stochastic Gradient Optimization Technique**

 🤖ai
sitepoint.com·
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