Awni Hannun (@awnihannun)
Ronan Collobert(@trebolloc)의 X 합류 환영 트윗. 딥러닝 분야의 저명 인물로 원조 Torch(파이토치 이전 프레임워크) 창시자이자 'NLP from scratch' 공동저자임을 강조하며, 오랜 기간 심층 신경망 훈련을 해온 경력을 소개. AI 개발자 커뮤니티에서 중요한 인물 소개 성격의 소식임.
Welcome to X, Ronan Collobert @trebolloc! If you work in Deep Learning and don’t know Ronan.. you’re missing out. Creator of og Torch (predecessor to PyTorch). Co-author of “NLP from scratch”. Training deep neural nets since way before it was cool. And most recently co-creator
Mike Gao (@gaozenghao)
작성자는 Apple MLX가 Apple 생태계(특히 M4 Pro)에서 학습·실행할 때 매우 효율적이라고 평가했습니다. PyTorch 코드 일부를 MLX로 재작성했더니 M4 Pro에서 GPU(가속기) 활용률이 크게 개선되었다고 보고해, MLX가 Apple Silicon 최적화에 강점이 있음을 시사합니다.
Learn how to run large language models locally for enhanced data privacy. This guide covers hardware requirements, software frameworks, quantization techniques, and security measures to protect sensitive data in on-premises deployments.
#LLM #NVIDIA GPU #Google TPU #PyTorch #Hugging Face Transformers #Model Quantization #Data Privacy #Secure Communication #Access Control #TLS 1.3
https://dasroot.net/posts/2026/02/running-llms-locally-data-privacy/
Learn how to run large language models locally for enhanced data privacy. This guide covers hardware requirements, software frameworks, quantization techniques, and security measures to protect sensitive data in on-premises deployments.
Info-Tech Research Group (@infotechRG)
Sebastian Raschka(@rasbt)가 'LLM을 직접 구축해보라'고 조언하며, Python과 PyTorch만으로 주말 프로젝트로 대형 언어 모델의 기본을 이해할 수 있다고 언급했다. AI 개발자들에게 실무 중심 학습을 독려하는 메시지로, LLM 구조의 개념적 이해와 전략적 활용을 강조한다.
Everyone wants to use LLMs. Sebastian Raschka (@rasbt) says try building one. If you know Python + PyTorch, a weekend project can demystify the hype and sharpen your AI strategy. Digital Disruption. New episodes every Monday. https://t.co/anMTG79fTM
Flood maps drive real decisions, but optical imagery is cloudy when floods hit. Our new guide shows how to train a cloud-aware #UNet in #PyTorch on #Sentinel2 data, evaluate with #IoU and Dice, and export #GIS layers for #DisasterRisk work.
Read the full article: https://codelabsacademy.com/en/blog/deep-learning-flood-risk-mapping-sentinel-2-python?source=mastodon
Train demand response controllers with deep RL without unstable training runs.
If you work in #SmartGrids or #ClimateTech, this guide walks through MDP design, reward shaping (cost/comfort/carbon), and stable DQN + actor‑critic patterns in #PyTorch.
Read the full guide: https://codelabsacademy.com/en/blog/deep-reinforcement-learning-demand-response-pytorch?source=mastodon
Install PyTorch on Windows 10 (3-Step Pip Guide)
Ready to set up PyTorch? Follow this simple 3-step guide to install via pip with CPU & CUDA support, plus quick verification and error fixes. Start building smarter models today.
#PyTorch #Windows10 #Python #MachineLearning #DeepLearning #AI #Izoate
https://www.izoate.com/blog/3-steps-to-install-pytorch-on-windows-10-via-pip/
This far pet used #ai tag to repel humans but recently it realized it needs something based on neural network to convert meows to humanspeak.
Holy shit! Tons of #python crap and sloppy code, and all that is presented as the state of the art.
Either the state is totally bad or something is wrong with the art
And that's not about Chinese code. Take #pytorch. It looks like the only wise programmer changed the default value for weights_only to True in load function and ran away for good.
There‘s now a #PyTorch version of #Cascade 👌, the #spike inference pipeline for #Calcium #imaging, as @ptrrupprecht just explained on his blog:
🌍 https://gcamp6f.com/2026/02/17/cascadetorch-a-pytorch-version-of-cascade-for-spike-inference/
🧑💻 https://github.com/PTRRupprecht/CascadeTorch
📄 https://www.nature.com/articles/s41593-021-00895-5
#CascadeTorch #DeepLearning #CompNeuro #Neuroscience #2pImaging #2p #opensource
Kevin Thomas ✅
sayzard
Rost Glukhov
Code Labs Academy
Izoate
petbrain
Fabrizio Musacchio