Milad Mohammadi @_miladm_
PyTorch @Meta Superintelligence Labs - Ex: @Google, @Stanford, @Nvidia, @Apple cva.stanford.edu/people/milad/ Stanford, CA Joined August 2012-
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🚀 PyTorch TPU proud moment: vLLM TPU 🚀 At Google Cloud Next '25 keynote, Amin Vahdat announced vLLM on TPU. This is a HUGE breakthrough moment for TPU adoption! 🔥 Thank you @woosuk_k for your awesome contribution and collaboration.
Very nice results from a @GoogleAI research effort on a general purpose time-series prediction model that gives good zero-shot performance to new forecasting tasks.
Very nice results from a @GoogleAI research effort on a general purpose time-series prediction model that gives good zero-shot performance to new forecasting tasks.
Last week, I spoke about AI and regulations at an event at the U.S. Capitol attended by legislative and business leaders. I’m encouraged by the progress the open source community has made fending off regulations that would have stifled innovation. But opponents of open source are…
Llama3 8B and 70B are out, with pretty exciting results! * The ~400B is still training but results already look promising. * Meta's own Chat interface is also live at meta.ai * TorchTune integration is shortly going live: github.com/pytorch/torcht…
Llama3 8B and 70B are out, with pretty exciting results! * The ~400B is still training but results already look promising. * Meta's own Chat interface is also live at meta.ai * TorchTune integration is shortly going live: github.com/pytorch/torcht…
Please welcome MegaBlocks to the Databricks family! databricks.com/blog/bringing-…
Check out PyTorch/XLA for generative AI on Google Cloud TPUs and GPUs at #GoogleCloudNext. 🚀 Register now at g.co/cloudnext cloud.withgoogle.com/next/speakers?…
The core PCE measure of US inflation, often referred to as the #FederalReserve's preferred gauge of price pressures, was better than the consensus forecast, The 0.1% monthly #inflation print brought the annual measure down to 3.2%. At 1.9% for the last 6 months, this inflation…
i love you all. today was a weird experience in many ways. but one unexpected one is that it has been sorta like reading your own eulogy while you’re still alive. the outpouring of love is awesome. one takeaway: go tell your friends how great you think they are.
Sam and I are shocked and saddened by what the board did today. Let us first say thank you to all the incredible people who we have worked with at OpenAI, our customers, our investors, and all of those who have been reaching out. We too are still trying to figure out exactly…
Really nice joint work from @GoogleResearch and @GoogleDeepMind on using deep-learning for weather forecasting. This approach produces much higher spatial+temporal resolution forecasts than traditional numerical approaches (see gif below), giving our users much more precise info!
Really nice joint work from @GoogleResearch and @GoogleDeepMind on using deep-learning for weather forecasting. This approach produces much higher spatial+temporal resolution forecasts than traditional numerical approaches (see gif below), giving our users much more precise info! https://t.co/cbc2kZZH4x
Introducing PyTorch/XLA SPMD! 🎉 Unleash GSPMD's model parallelization power within PyTorch using an easy API. Train large neural networks, maximize AI accelerator utilization on Google Cloud TPUs. Effortless scaling for peak performance! 🔥 🔗 hubs.la/Q020QSW-0
🔥 Simplify the scaling of model training using nested FSDP wrapping. Prepare for incredibly efficient GPT-2 training, now capable of handling up to 128B parameters on Google Cloud TPUs. Experience an impressive 45.1% Model FLOPS Utilization and take your training to next level!!
🔥 Simplify the scaling of model training using nested FSDP wrapping. Prepare for incredibly efficient GPT-2 training, now capable of handling up to 128B parameters on Google Cloud TPUs. Experience an impressive 45.1% Model FLOPS Utilization and take your training to next level!!
🚀 PyTorch/XLA FSDP is supercharging the game in Hugging Face Transformers! Train PyTorch models with 20x more parameters using the same compute power🔥 Get ready for efficient GPT-2 training with up to 128B parameters on Google Cloud TPUs 👉 hubs.la/Q0207z760
🤔 Learn how to build LLM-powered applications using LLM APIs, Langchain and W&B Prompts. This course will guide you through the entire process of 💡 designing, 🧪 experimenting, and 📊 evaluating LLM-based apps.
100% AI-generated images from just a small training set! The future of AI is here 😵 #StableDiffusion #TheDream
Super excited to share our latest work on accelerating LLaMA, the iconic Large Language Model, using PyTorch/XLA on Google Cloud TPU. We are passionate about bringing higher performance solutions to the #AI community. Join us to unlock new innovations in…lnkd.in/g4epc5eu
Thanks to the acceleration capabilities of Google Cloud TPU and PyTorch/XLA, we've unlocked unique speed and efficiency, making LLaMA more accessible and efficient than ever before. 💥 🚀 Read more here: hubs.la/Q01W6GwJ0
To push the rapid pace of #AI innovation, developers are eager to know: what's the "right" dev. framework to support the massive compute demand of future #deeplearning models? With PyTorch adoption lead in the #AI community, and…lnkd.in/gkN5vZD6 lnkd.in/g5qEfMzR

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