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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.
Note: All information was correct at the time of recording.
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