Niels Rogge
Intro to generative AI, best practices regarding building AI Agents, how to evaluate AI agents, etc
I work as a Machine Learning Engineer at Hugging Face, a well-known name in the world of AI, and more specifically, open-source AI. Hugging Face's mission is to make AI as widely accessible as possible for everyone (much like OpenAI's initial mission—hence the name—before OpenAI realized ChatGPT could be made a fair amount of money and wasn't as open anymore). I help make AI models, from LLMs to computer vision to time series models, more easily available to the entire world. I also work as an ML Consultant for ML6, where I develop (generative) AI use cases for large companies.
My expertise
What is AI, what is generative AI versus other AI domains, who are the biggest players, the difference between open-source and closed-source AI, best practices for building AI agents, evaluating AI applications/AI agents, guardrailing, RAG chatbots, computer vision/multimodal AI, time-series forecasting...
Domain/sector
- Computer Science & IT
- Across all disciplines (AI in general)
Organisation
