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Defining Open-Source AI: Challenges and Opportunities in the Evolving Landscape

Offered By: MLOps World: Machine Learning in Production via YouTube

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Generative AI Courses Artificial Intelligence Courses Machine Learning Courses MLOps Courses AI Ethics Courses AI Governance Courses

Course Description

Overview

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Explore the critical topic of defining Open-Source AI in this keynote address from the MLOps World: Machine Learning in Production conference. Gain insights into the Generative AI Commons initiative by the Linux Foundation AI & Data, and understand the unique challenges posed by Open Source AI compared to traditional open-source software. Examine the delicate balance between fostering innovation and upholding core open-source principles, including the freedom to study, use, modify, and share. Engage in a thought-provoking discussion on shaping a definition for Open-Source AI that adapts to the evolving AI landscape while preserving the essence of openness in technological advancement.

Syllabus

Keynote Ofer Hermoni


Taught by

MLOps World: Machine Learning in Production

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