As a machine learning engineer at Hugging Face, I'm at the front front of what's happening in open-source AI. There are a lot of advancements in open models for coding, such as Qwen3-Coder, GLM-4.5 which is compatible with Claude Code, Hugging Face Inference Providers VSCode integration and more. This talk aims to provide an overview of the landscape of openly available models for coding, explain the different model types and training objectives, how they stack up against closed models and the tooling around it (fine-tuning and inference).
Niels works as a senior machine learning engineer at ML6, a Belgian AI consulting company which implements (generative) AI use cases for large companies in the Benelux, Germany and beyond. Besides that he works part-time at Hugging Face, a well-known name in the world of open-source AI, where he's part of the open-source team to make AI easier accessible.
