Machine Learning

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Backpropagation Without the Magic: A First-Principles Derivation

 🧠LLMs  Content type: Blog
medium.com
·

Intro — Sehastrajit

 🤖AI Engineering  Content type: Blog
medium.com·

meleantonio forked meleantonio/DEQN_Galo_03_2026 from sischei/DEQN_Galo_03_2026

 🧠LLMs  Content type: Code
github.com·

Forward-Only Convolutional Neural Networks with Learnable Channel-Class Assignment

 🧠LLMs  Content type: Academic
arxiv.org·

My Data Science Internship Journey at Oasis Infobyte: Building Real-World Machine Learning Projects

 📦SaaS  Content type: Blog
medium.com·

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

 🤖AI Engineering

Stop hand-tuning kernels: How Neuron Agentic Development accelerates AWS Trainium optimizations

 🧠LLMs  Content type: Blog
aws.amazon.com·

Fine tuning classification in Elixir

 🧠LLMs
elixirstatus.com·

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

 ✍️Prompt Engineering

DeepSeekV4 1.6T Day 0 to Day 43 Performance Over Time - Huawei, GB300 NVL72, MI355X, B200

 🤖AI Engineering  Content type: News

Shadow AI Governance: How to Secure Employee AI Use in 2026

 🤖AI Engineering  Content type: Blog
cswithsanjay.blogspot.com·

Discrete Diffusion Modelling by Estimating the Ratios of the Data Distribution

 🧠LLMs  Content type: News  Content type: Blog

If Claude Fable stops helping you, you'll never know

 🤖AI Engineering  Content type: Blog
jonready.com··Lobsters, Hacker News

**PyTorch Stochastic Gradient Optimization Technique**

 🧠LLMs
sitepoint.com·

Asynchronous AI cuts computing energy by orders of magnitude while learning continuously

 🤖AI Engineering
techxplore.com·

Pythia 1.4B reproduces 3.6% of training samples verbatim given 950-token prompts

 🧠LLMs  Content type: Blog
ret2libc.com··Hacker News

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

 ✍️Technical Writing  Content type: Code
github.com··r/rust

Agents Need Work Data: A Primer on RLWD, or Reinforcement Learning on Work Data

 🤖AI Engineering

RadKey: An LLM-Guided RF Backscatter System for Through-Wall Keystroke Inference

 🔐Cryptography  Content type: Academic
arxiv.org·

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