And now for something completely different! With a few hours to kill in the speaker room, I decided to take a stab at writing Hugging Face code with Github Copilot. No speech on this one, just a light rock music track, I hope you'll enjoy it.
This video was recorded in one take, with very little editing (kernel crashes, etc.). I just opened VS Code, picked a simple example, and played ball. IMHO Copilot did very well. Some suggestions definitely felt like it was reading my mind. Give it a try and share your comments :)
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Getting started :
- Hugging Face: https://huggingface.co/course
- Github Copilot: https://github.com/features/copilot
And if you're interested in LLMs for code generation, check out the BigCode project at https://www.bigcode-project.org/
Transcript
Music
The next step is to make a new product.
Music
I'm going to go ahead and put it in the middle of the day.
Music
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.