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Explore practical considerations for implementing Generative AI in enterprises, from pilot projects to full-scale deployment. Delve into the challenges faced by organizations, including data pre-processing complexities, AI model selection debates, and security concerns surrounding API usage. Gain insights into successful GenAI implementations at scale, drawing from real-world experiences with partners and customers. Learn about Anyscale's approach to addressing these issues and leveraging the Ray framework for scaling AI workloads across various domains, from Generative AI and LLMs to computer vision.
Syllabus
Introduction
Context
Use Cases
Challenges
Intel portfolio
Example
Native Ray
Taught by
Anyscale