Locally training and comparing small, task-specific language models: A hands-on guide to fine-tuning and RLHF
— > Discover the benefits of small, task-specific language models for your business. Learn how fine-tuning with the teacher-student approach improves performance, cost, and privacy. 🚀
This session explores the benefits of small, task-specific language models for businesses. Attendees will learn how fine-tuning these models using techniques like the teacher-student approach can improve performance, cost-effectiveness, and data privacy compared to larger models. We will also show how you can locally test and evaluate these models, along with real-world case studies demonstrating their potential to outperform larger counterparts and align with business objectives.
Event Timeslots (1)
@Collab 9
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By Ben Selleslagh
WORKSHOP