Philipp Schmid

Activities

3

talks

AI Developer Experience Google DeepMind

AI Developer Experience at Google DeepMind

Bio from: Agentic AI Summit | Virtual

Frequent Collaborators

Amber Roberts Databricks 9 Amy Hodler GraphGeeks.org 9 Chi Wang 9 Chris Alexiuk AI Makerspace; NVIDIA 9 Jerry Liu LlamaIndex 9 João (Joe) Moura CrewAI 9 Micheal Lanham Brilliant Harvest 9 Paige Bailey Google 9 Sai Kumar Arava Adobe 9 Valentina Alto Microsoft 9

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Talks & appearances

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2024-04-10 · Google Cloud Next '24

session

with Guillermo Rauch (Vercel) , Steve McGhee (Google) , Kaslin Fields (Google Cloud) , Charity Majors (Honeycomb) , Josh Long (Broadcom) , Femi Akinde (Google Cloud) , Richard Seroter (Google Cloud) , Brad Calder (Google Cloud) , Chloe Condon (Google Cloud) , Philipp Schmid (Google DeepMind) , Chen Goldberg (Google Cloud)

AI/ML Cloud Computing GCP

There's a lot involved in building modern software. How can you build something powerful and extensible, without drowning in complexity? Join Google and industry experts for demos and best practices around making modern software development easier with our AI. We'll talk about the bleeding-edge of technology, how you can adopt it, and how Google does it ourselves. This is a talk by developers, for developers, so buckle up.

Want to be among the first to get hands-on with Google Cloud innovations? Click the blue “See what’s next” button above to let us know, and jump to the front of the line. Want to get building on Vertex AI right now? Head to g.co/next/vertex and get going in minutes.

PyTorch/XLA for generative AI on Google Cloud TPUs and GPUs

2024-04-10 · Google Cloud Next '24

session

with Nisha Mariam Johnson (Google Cloud) , Sapir Weissbuch (Lightricks) , Philipp Schmid (Google DeepMind) , Milad Mohammadi (Google Cloud)

AI/ML PyTorch

More generative AI models are built on PyTorch than on any other framework. We partner with Lightricks to share how PyTorch/XLA offers a performant, automatic compiler experience with all the ease-of-use and ecosystem benefits of PyTorch. Learn from Hugging Face as they share more about the latest features that improve PyTorch/XLA performance and usability on GPUs and TPUs.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Founder series fireside chat: Philipp Schmid, Technical Lead of Hugging Face

2024-04-09 · Google Cloud Next '24

session

with Urs Hölzle (Google Cloud) , Philipp Schmid (Google DeepMind)

AI/ML GenAI

Join us in this fireside chat with Phillipp Schmid, Technical Lead of Hugging Face, a collaboration platform for the machine learning community where anyone can share, explore, discover, and experiment with open-source ML. Phillipp will talk about the benefits of open source going into production with generative AI applications – everything from versioning, evaluating, monitoring, and data drift. He will highlight the challenges of evaluating large language models (LLMs), including what works today and where we need to improve. Join us for his thoughts on the role of cloud computing in accelerating AI and how Hugging Face is leveraging it to build an open, ethical, and collaborative AI future.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.