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The practicalities of releasing models

The practicalities of releasing models

FromPractical AI: Machine Learning, Data Science


The practicalities of releasing models

FromPractical AI: Machine Learning, Data Science

ratings:
Length:
37 minutes
Released:
Nov 1, 2022
Format:
Podcast episode

Description

Recently Chris and Daniel briefly discussed the Open RAIL-M licensing and model releases on Hugging Face. In this episode, Daniel follows up on this topic based on some recent practical experience. Also included is a discussion about graph neural networks, message passing, and tweaking synthesized voices!
Released:
Nov 1, 2022
Format:
Podcast episode

Titles in the series (100)

Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, and more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!