Efficiently Fine-Tuning Small Language Models with Python in 2025

Learn how to efficiently fine-tune small language models (SLMs) using Python tools to achieve state-of-the-art results on domain-specific tasks, even with modest hardware resources. Discover why SLMs can outperform larger models for specialized applications and explore the Python ecosystem's capabilities for lightweight model development. Gain insights from Dr. Sigal Shaked, who specializes in building tailored Small Language Models at Datawizz, as she demonstrates practical techniques for maximizing performance while minimizing computational requirements in this 21-minute conference talk from PyCon Israel 2025.