Hey, Julien here. I've got this cool demo with a Raspberry Pi and an MXNet model for image recognition and Amazon Polly for speech-to-text. Let's try it with some objects and see how it goes.
First object. I'm 86% sure that this is a coffee mug. It looks like a coffee mug. Let's try another one. A remote control. I'm 99% sure that this is a remote control. Yep, it is a remote control. And you can see here the logs on the Raspberry Pi.
Let's try a third object. Hey, I've seen this guy before. I made it. I'm 86% sure that this is a mask. It is a mask. Alright, let's try a final one. Hmm, yeah, I've seen this one before too. I'm 87% sure that this is a wine bottle. Yeah, it is a wine bottle and it's not empty yet, but we're gonna work on that.
And I hope you appreciate my super fancy camera stand. How's that? Pretty cool. Yep. And again, my logs on the Raspberry Pi. Well, that's it for today. Probably I will write an article about this, but I couldn't wait to show you the real thing in action. That's it. Bye-bye.
Julien Simon is the Chief Evangelist at Arcee AI
, specializing in Small Language Models and enterprise AI solutions. Recognized as the #1 AI Evangelist globally by AI Magazine in 2021, he brings over 30 years of technology leadership experience to his role.
With 650+ speaking engagements worldwide and 350+ technical blog posts, Julien is a leading voice in practical AI implementation, cost-effective AI solutions, and the democratization of artificial intelligence. His expertise spans open-source AI, Small Language Models, enterprise AI strategy, and edge computing optimization.
Previously serving as Principal Evangelist at Amazon Web Services and Chief Evangelist at Hugging Face, Julien has helped thousands of organizations implement AI solutions that deliver real business value. He is the author of "Learn Amazon SageMaker," the first book ever published on AWS's flagship machine learning service.
Julien's mission is to make AI accessible, understandable, and controllable for enterprises through transparent, open-weights models that organizations can deploy, customize, and trust.