Stephen BlumWe are finishing every PyTorch tutorial to become true experts.
Code Labs AcademyBuilding smarter grids means coordinating homes, batteries, and operators, not just forecasting load. Our new guide shows how to design a #MultiAgentRL smart-grid simulator in #Python, shape rewards, and evaluate it like a real energy system.
Read the full article: https://codelabsacademy.com/en/blog/multi-agent-rl-smart-grids-python?source=mastodon
eServersSetting up an AI/ML environment from scratch?
We just published a comprehensive 7-step guide on configuring an Ubuntu bare-metal NVIDIA GPU server.
We cover the exact bash commands for:
Installing proprietary NVIDIA drivers
Setting up Miniconda
Installing PyTorch & TensorFlow with full CUDA support
Read the full technical tutorial here:
https://www.eservers.uk/tutorials/howto/set-up-ai-ml-environment-gpu-server/
#MachineLearning #AI #PyTorch #TensorFlow #Ubuntu #Linux #DataScience #DevOps #GPUComputing #OpenSource
sayzardGithub Awesome (@GithubAwesome)
AutoKernel은 GPU 프로파일링과 커널 최적화 작업을 자동화하는 도구로, Andrej Karpathy의 autoresearch에서 영감을 받아 개발된 자율 에이전트를 사용합니다. 사용자가 PyTorch 모델을 지정하면 백그라운드에서 Triton 커널을 자동으로 최적화해 주므로 모델 개발자가 수동으로 프로파일을 관찰·조정하는 시간을 크게 절약할 수 있습니다.
Github Awesome (@GithubAwesome) on X
Building AI models and tired of staring at GPU profilers? AutoKernel does it for you. Inspired by Karpathy's autoresearch, it brings autonomous AI agents to GPU kernel optimization. Point it at any PyTorch model, go to sleep, and wake up to optimized Triton kernels. It
Gradients in, optimizer steps, and the model learns layer by layer.
LinuxGizmos.comGateworks GW16168 M.2 AI accelerator features NXP Ara240 DNPU with up to 40 eTOPS
N-gated Hacker News🎉 Behold, the magical #AI that promises to turn your sleepy dreams into high-performance #GPU #kernels while you snore! 😴✨ Just toss in any #PyTorch model, and this overhyped digital fairy godmother will allegedly transform it into something useful by morning. Because clearly, we all needed yet another excuse to nap on the job. 💤🖥️
https://github.com/RightNow-AI/autokernel #Magic #SleepyDreams #Productivity #HackerNews #ngated
https://github.com/RightNow-AI/autokernel #Magic #SleepyDreams #Productivity #HackerNews #ngated
HabrКак я поймал Трансформер на читерстве: гроккинг, математика и Mechanistic Interpretability
Феномен Grokking и Mechanistic Interpretability — главные тренды в исследованиях лабораторий уровня OpenAI и Anthropic. Я решил потрогать эти концепции своими руками на уровне тензоров. Цель казалась тривиальной: заставить кастомный микро-Трансформер (всего 1М параметров) выучить базовую арифметику с нуля. Однако вместо математического гения я получил ленивого мошенника. Эта статья — инженерный детектив о том, как нейросети пытаются нас обмануть (Specification Gaming), и как вскрытие Attention-матриц помогает поймать их за руку. Вскрыть Трансформер
https://habr.com/ru/articles/1008656/
#machine_learning #transformers #grokking #mechanistic_interpretability #pytorch #specification_gaming #ai_alignment
deSilva