Sigal Shaked
Sigal Shaked is a founder, technologist, and researcher with over 20 years of experience at the intersection of data, machine learning, and Generative AI. She holds a PhD in Software and Information Systems Engineering and was among the early academic contributors to the emerging field of GenAI. At Datawizz, she focused on building domain-specific small language models (SLMs) that prioritize performance, privacy, and real-world utility.
Session
11-05
10:45
30min
Tailoring Language Models with Python: Practical SLM Fine-Tuning for Data Scientists
Sigal Shaked
A hands-on guide to fine-tuning small language models (SLMs) using Python tools like Axolotl, PEFT, Accelerate, and HuggingFace Transformers. Learn practical workflows that empower data teams to build performant, private, and domain-specific LLMs.
Blue