Machine Learning

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Treble Technologies and Hugging Face Address Benchmark of Automatic Speech Recognition Models

 💬LLMs
audioxpress.com·

Intro — Sehastrajit

 🤖AI  Content type: Blog
medium.com·

Model Evaluations: Prove Your Routing Policy Actually Works

 ☁️Cloud Computing  Content type: Blog
digitalocean.com·

maziyarpanahi/openmed: open-source healthcare ai

 🤖AI  Content type: Code
github.com·

China's Xiaomi MiMo Is Now 15X Faster Than ChatGPT and Claude (4 minute read)

 ☁️Cloud Computing  Content type: News
decrypt.co·

Hugging Face Transformers flaw enables RCE via malicious model configs

 💬LLMs
4sysops.com·

NeuroBait: I fine-tuned a model to spark dopamine for ADHD brain

 🎮GPUs  Content type: Blog
huggingface.co·

Running LLM Inference on Kubernetes: What It Actually Takes

 ☁️Cloud Computing  Content type: Blog
fairwinds.com·

Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent

 💬LLMs  Content type: News
spectrum.ieee.org
··Hacker News

Mbodi AI (YC P25) Is Hiring Founding Machine Learning Engineer (Robotics)

 🤖AI

Performative prediction

 🤖AI
danmackinlay.name·

Learning Fuzzy Logic: Automatic Rule Discovery Through Differentiable Circuits

 🤖AI
metafunctor.com··DEV

Flexible Kernels for Protein Property Prediction

 💬LLMs  Content type: Academic
arxiv.org·

"North Mini Code"; open weights, 30B param, Canadian coding model

 🎮GPUs  Content type: Blog
cohere.com··Hacker News

Backpropagation Without the Magic: A First-Principles Derivation

 💬LLMs  Content type: Blog
medium.com
·

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

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

Building Pakistan Notice Helper: A Small AI Tool for a Very Local Safety Problem

 👁️Computer Vision  Content type: Blog
huggingface.co·

Topology-aware reconstruction of cellular state landscapes from microscopy using self-supervised learning

 👁️Computer Vision  Content type: Academic
biorxiv.org·

Google's latest DiffusionGemma open AI model comes with a 4x speed boost

 🎮GPUs  Content type: News
arstechnica.com·

Microsoft Research's Lens proves detailed captions matter more than raw scale for training efficient image generators

 💬LLMs  Content type: News
the-decoder.com
·
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