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Explore the critical role of data in developing and implementing Large Language Models (LLMs) for enterprise applications in this 23-minute talk featuring Paroma Varma from Snorkel AI and Ali Arsenjani from Google. Discover why LLMs require customization and how injecting unique organizational data can tailor these models for specific use cases. Learn about the time-intensive process of data preparation, the ethical responsibilities associated with AI usage, and the importance of specialized models for different verticals. Gain insights into enterprise AI strategies and LLM customization techniques to enhance your organization's AI capabilities.
Syllabus
The Art of Data Development for LLMs
Taught by
Snorkel AI