Founder, senior corporate leader and father of two.
Mastering the art of juggling multiple hats. Sharing experiences and overcoming challenges along the way.
Our experts showcase AI innovations built from India for the world, during the AI Strategy Walk with SAP Executive Board and Supervisory Board Members ⚡️🙌
Today is the beginning of our moonshot to solve embodied AGI in the physical world. I’m so excited to announce Project GR00T, our new initiative to create a general-purpose foundation model for humanoid robot learning.
The GR00T model will enable a robot to understand multimodal instructions, such as language, video, and demonstration, and perform a variety of useful tasks. We are collaborating with many leading humanoid companies around the world, so that GR00T may transfer across embodiments and help the ecosystem thrive.
GR00T is born on NVIDIA’s deep technology stack. We simulate in Isaac Lab (new app on Omniverse Isaac Sim for humanoid learning), train on OSMO (new compute orchestration system to scale up models), and deploy to Jetson Thor (new edge GPU chip designed to power GR00T).
Announced in Jensen's keynote, Project GR00T is a cornerstone for the “Foundation Agent” roadmap of the newly founded GEAR Lab. At GEAR, we are building generally capable agents that learn to act skillfully in many worlds, virtual and real. See if you can spot "GEAR" in the video ;)
Join us on the journey to land on the moon.
Prompts are the digital assets that can capture our expertise and make it relevant for LLMs, driving even better results. I shared a few thoughts about it here https://t.co/HP0s8HUfvr
I got a nice surprise just before the weekend 🤩 along with two sustainable straws.
I am glad to know people who care about the future and who discuss together how to make a positive impact not only for HR ;-)
@WinfriedFelser
Estimating development efforts becomes even more complex building GenAI products. You need to consider upfront what model to use, what data you have/ need for embeddings or fine tuning and some more. Estimating costs needs a prediction of user interaction to calculate message calls, token consumption and even additional compute power can be factor.
Is there something essential I missed? How do you approach these kind of estimates? Do you estimate at all?
I'm following a lot of discussions about productivity especially in the software industry. It's interesting that executives tend to see productivity gains as cost savings.
Looking at generative AI opportunities and impacts I focus more on top line impact than bottom line.
How do you approach potential GenAI cases?
For me it seems that at the moment things are a lot about emotions. If it is the latest news on @Tesla Model 3 or fancy stuff about GenAI.
Getting lost in work these days, there’s nothing better than spending time with my family to stay grounded.
That’s what we did at the weekend, with a lot of fun and excitement at a late Saturday evening match on the #betze
Wir müssen zum Global Player werden und brauchen kein "Made in Germany". Wir sollten endlich verstehen, dass es einfach sein muss über Grenzen hinweg zu arbeiten und dafür brauchen wir viel weniger Bürokratie, ein einfaches Steuerrecht und eine Grundeinstellung etwas möglich machen zu wollen, statt auf alles zu fokussieren was schwierig sein könnte.
Es reden ja auch alle über Tesla und nicht über "Made in USA". Die Denke, dass wir etwas besseres sind, ist Teil des Problems.
Es sollte um die Qualität der Produkte gehen die wir herstellen nicht darum wo sie gebaut werden.
Um zukünftig erfolgreich sein zu können müssen wir flexibel sein!