Watch a panel discussion featuring AI pioneers Ce Zhang, Ram Sriharsha, and Soheil Koushan as they explore the challenges and opportunities in the emerging AI development stack. Gain insights into the future direction of AI development and learn valuable tips for building AI-based applications for global deployment. Discover how to empower application developers and tooling builders to master AI at internet scale. The discussion covers topics such as understanding and evaluating models, the future of context windows, fine-tuning, security considerations, the importance of data, and ecosystem diversity. Moderated by Pete Soderling, this 42-minute talk provides a comprehensive overview of the current state and future prospects of AI development, offering practical knowledge for developers looking to leverage AI technologies in their projects.
Overview
Syllabus
Intro
Meet the speakers
Understanding and evaluating your models
How to evaluate your models
The future of context windows
Two aspects of context windows
Future of context windows
Finetuning
Assumptions
Guard Rails Security
Data is King
Treasure Trove
Taba Data
Rational Database
Language Models
Higher Context Models
Ecosystem Diversity
Conclusion
Taught by
Data Council
