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AI video generation models still have a long way to go when it comes to making compelling and complex videos but the HeyGen team are well on their way to streamlining the video creation process by using a combination of language, video, and voice models to create videos featuring personalized avatars, b-roll, and dialogue. This week on No Priors, Joshua Xu the co-founder and CEO of HeyGen, joins Sarah and Elad to discuss how the HeyGen team broke down the elements of a video and built or found models to use for each one, the commercial applications for these AI videos, and how they’re safeguarding against deep fakes.
Links from episode:
Sign up for new podcasts every week. Email feedback to [email protected]
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @joshua_xu_
Show Notes:
(0:00) Introduction
(3:08) Applications of AI content creation
(5:49) Best use cases for Hey Gen
(7:34) Building for quality in AI video generation
(11:17) The models powering HeyGen
(14:49) Research approach
(16:39) Safeguarding against deep fakes
(18:31) How AI video generation will change video creation
(24:02) Challenges in building the model
(26:29) HeyGen team and company
4.4
112112 ratings
AI video generation models still have a long way to go when it comes to making compelling and complex videos but the HeyGen team are well on their way to streamlining the video creation process by using a combination of language, video, and voice models to create videos featuring personalized avatars, b-roll, and dialogue. This week on No Priors, Joshua Xu the co-founder and CEO of HeyGen, joins Sarah and Elad to discuss how the HeyGen team broke down the elements of a video and built or found models to use for each one, the commercial applications for these AI videos, and how they’re safeguarding against deep fakes.
Links from episode:
Sign up for new podcasts every week. Email feedback to [email protected]
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @joshua_xu_
Show Notes:
(0:00) Introduction
(3:08) Applications of AI content creation
(5:49) Best use cases for Hey Gen
(7:34) Building for quality in AI video generation
(11:17) The models powering HeyGen
(14:49) Research approach
(16:39) Safeguarding against deep fakes
(18:31) How AI video generation will change video creation
(24:02) Challenges in building the model
(26:29) HeyGen team and company
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