AI system ‘building blocks’ | a deep dive on value, IP, open v proprietary and legal risks

In this episode, Vik Khurana explains the ‘building blocks’ of an AI system and various legal and commercial trends, risks and issues. In particular:What are the building blocks?  A deep dive on training data, weights and parameters, model code, inference code and computational resources.  Where does value and IP reside within each block?  What is typically accessible and what is not?  What is proprietary and what is open sourced?The different licensing models and regulatory exceptions around the development and use of open source AI.Here is a link to the ‘building blocks’ diagram Vik mentions in the episode that may be useful for listeners to view during the first half of the episode.Send us Fan MailNote: All information was correct at the time of recording.Thanks for listening!If you have any feedback, questions or comments, please email us at [email protected] all the episodes as we release them here, and don’t forget to subscribe! Follow us on LinkedIn using #TheRoadmapPod