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, etc). 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!
Cambrian explosion of generative models
In this Fully Connected episode, Daniel and Chris explore recent highlights from the current model proliferation wave sweeping the world - including Stable Diffusion XL, OpenChat, Zeroscope XL, and Salesforce XGen. They note the rapid rise of open models, and speculate that just as in open source software, open models will dominate the future. Such rapid advancement creates its own problems though, so they finish by itemizing concerns such as cybersecurity, workflow productivity, and impact on human culture.
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Featuring:
Show Notes:
Something missing or broken? PRs welcome!
Timestamps:
(00:00) - Welcome to Practical AI
(00:43) - Introductions
(01:16) - Chris switching jobs
(01:36) - Animal advocacy and AI
(02:24) - The proliferation of models
(03:47) - SD-XL 0.9
(06:55) - The multi-model approach
(08:51) - Vertical limits
(13:18) - History repeats itself
(13:55) - Sponsor: Changelog News
(15:28) - Open models catching up
(17:45) - Zero Scope XL
(19:17) - How to evaluate
(24:48) - Quantizing your model
(26:28) - 7b parameter zone
(28:13) - Mosaic's acquisition
(32:20) - AI in business decisions
(33:50) - We're in the wild west
(37:32) - AI culture
(38:33) - Models are tools
(41:26) - Outro