2025-04-25 –, Zeiss Plenary (Spectrum)
In this talk, Leandro will examine the significant benefits of combining open source principles with artificial intelligence. He will walk through the need for openness in language models to build trust, maintain control, mitigate biases, and achieve true alignment and show how open models are rapidly gaining momentum in the AI landscape, challenging proprietary systems through community-driven innovation. Finally, he will then talk about emerging trends and what the community needs to build for the next generation of models.
In this talk, Leandro will examine the significant benefits of combining open source principles with artificial intelligence. He will walk through the need for openness in language models to build trust, maintain control, mitigate biases, and achieve true alignment and show how open models are rapidly gaining momentum in the AI landscape, challenging proprietary systems through community-driven innovation. Finally, he will then talk about emerging trends and what the community needs to build for the next generation of models.
None
Expected audience expertise: Python:None
Leandro von Werra is the head of research at Hugging Face. He promotes open science and works on building large high-quality datasets and training of open LLMs. He lead the BigCode project, is a co-author of the “Natural Language Processing with Transformers” book published at O’Reilly and the creator of the popular Python library TRL, which combines transformers with reinforcement learning and other effective fine-tuning methods.