Finally taking my Dockerized AI bot to the next level with @LightningAI. Their persistent GPU Studios are exactly what I needed to move beyond my 24/7 home PC and start serious model training. Massive thanks for supporting the dev community! 🛠️⚡️ #PyTorchLightning #BuildInPublic

Will the model judge me for those midnight snack predictions? 🍪🤐 Source: devhubby.com/thread/how-to-p… #PyTorchLightning #Data #PyTorch #RNN #model #predict

自分でstepから全部書くのとpytorchlightning使うのどっちがいいんかな

社内コンペ楽しいなぁ。 ベースラインのコードをPytorchLightningにしてくれてるものポイント高い。やっと重い腰を上げて勉強できる。

Dr. Luca Antiga (@lantiga) joins host @JonKrohnLearns to discuss PyTorch Lightning's impact on AI development, the rise of small language models, and the evolving role of developers in an AI-powered world. Watch here: bit.ly/sds831 #datascience #pytorchlightning #slms

Enough talk! Let's Code! We'll use PyTorchLightning⚡️ for this. 🔹 First, let's define our autoencoder! A LightningModule enables your PyTorch nn.Module to play together in complex ways inside the training_step. 🔸 I'll also provide link to all the code at the end. 4/n

ここ1ヶ月pytorchlightningと向き合ってるけどこいつかくの楽しいから好き

I can't really decide if PyTorchLightning is this genius thing that makes so easy to train models or it's the literal devil that makes every project non compatible after new PL version comes out (am leaning towards the latter at the moment)

🎙 Another Amazing @GPTuesdays session on "Frontier AI: From @GoogleDeepMind 's Nuclear Fusion to @PyTorch Lightning ⚡ We Are Miami's Longest Running AI Event ​💥 We focused on tier-one AI projects revolutionizing fields like nuclear fusion, protein folding, and robotics, showcasing how machine learning is tackling humanity's grand challenges. ​⚡ Then on #PyTorchLightning, a powerful tool reshaping the landscape of deep learning development. ​👤 Bio: Aleksey Romanov holds a Master's degree in Computer Science from Saratov State University and completed four years of postgraduate studies, during which he were conducting machine learning classes. Aleksei is a Senior Staff Data Scientist and Deep Learning Engineer at Grid Dynamics. With a strong background in deep learning across various industries including e-commerce, telecom, and manufacturing, Aleksei is experienced in building advanced AI solutions for Fortune 500 companies. His expertise spans recommendation systems, computer vision, natural language processing, predictive analytics, and discrete optimization. 🎤 Host: @GrantKurz and Cofounder ​🗓 Date: August 13th 📍 Location: @officelogicmia (Sponsor!!) s/o GPTuesday Team: @GrantKurz @MicahBerkley @ptahdunbar @thecmrfrd @i_plus_ai & extended family.

Enough talk! Let's Code! We'll use PyTorchLightning⚡️ for this. 🔹 First, let's define our autoencoder! A LightningModule enables your PyTorch nn.Module to play together in complex ways inside the training_step. 🔸 I'll also provide link to all the code at the end. 4/n

うーんpytorchlightning使えば学習速度上がるか......?

Enough talk! Let's Code! We'll use PyTorchLightning⚡️ for this. 🔹 First, let's define our autoencoder! A LightningModule enables your PyTorch nn.Module to play together in complex ways inside the training_step. 🔸 I'll provide link to all the code at the end. Check this👇

Love the combination of @LightningAI studio VSCode and PytorchLightning Gets the training started in minutes (literally)

PytorchLightning works really well. I was training a transformer model from scratch on 2 GPUs. Worked nice, had to make some adjustments to the model code

That's a wrap! In future we'll cover: - Dataloaders - torch nn.module - The Collate function - Distributed Training - Training/Validation loops - Callbacks using @LightningAI's PyTorchLightning Find me → @akshay_pachaar ✔️ And don't miss any of the future updates! Cheers!🥂

Enough talk! Let's Code! We'll use PyTorchLightning⚡️ for this. 🔹 First, let's define our autoencoder! A LightningModule enables your PyTorch nn.Module to play together in complex ways inside the training_step. 🔸 I'll provide link to all the code at the end. Check this👇

Enough talk! Let's Code! We'll use PyTorchLightning⚡️ for this. 🔹 First, let's define our autoencoder! A LightningModule enables your PyTorch nn.Module to play together in complex ways inside the training_step. 🔸 I'll provide link to all the code at the end. Check this👇

🌟 Just tried out Lightning AI Studio with PyTorch and I'm blown away! It made programming Neural Networks so much simpler. Highly recommend it to anyone looking for hassle-free efficiency. Check it out: lightning.ai/studios?view=pu… #PyTorchLightning

pytorchlightning便利だな〜

.@AWS scientists leverage @NVIDIA NeMo (powered by PyTorch Lightning) to push the boundaries in LLM training and deliver models to customers faster. #AI #PyTorchLightning