The AI Model Manager-and more importantly, the technology that underpins it-allows us greater flexibility in delivering new models and model updates without bogging users down with massive amounts of data. What does the AI Model Manager mean for the rest of the Topaz apps? He explains how we use AI to apply intelligent noise reduction to still images. The article was written by Partha Acharjee, one of our brilliant research engineers. I recommend reading this thorough article to learn more about how we train our AI models to improve the objective quality of still images and videos. Even if we haven't actively changed the guts of one of our models, our computers are constantly training them, allowing us to deliver that value quicker than before. Our R&D team is constantly experimenting with bleeding-edge techniques in the machine learning field, and our giant pseudo-supercomputers are chugging away every day to train those models. We've been growing our R&D team in recent months and hope to be putting out new model versions at least once every 1-2 months. How often do you expect to release new model classes and versions? We also want to provide the user with control over how much of each model will be stored locally without interrupting the core user experience. The goal was to allow users to dig in, experiment, and decide where to store our growing library of AI models. We kept asking ourselves, "How do we deliver new models to users without overloading them with options? How do we let people experiment but not overload those that want 1-click functionality?" We built the AI Model Manager to strike a balance between ease-of-use and flexibility for our users. We've been exploring ways to serve our users best regarding AI model management within Video Enhance AI. What led to the creation of this new feature? The primary theme of this article is to introduce the new AI Model Manager within Video Enhance AI. My ultimate goal is to have every user, no matter what type of image or video they're looking to enhance, be able to look at the result from our products and say "wow." My core focus is ensuring that we present users with the AI technology that underpins both applications in the easiest to use way possible while allowing for as much flexibility as makes sense for our end users. I'm the lead developer on both Video Enhance AI and Gigapixel AI. How about we start with some formalities? Can you tell us who you are and what you do at Topaz Labs? To explain a bit more about it, we'd like to share this interview with Taylor. The new AI Model Manager has far-reaching implications in how we approach both application and model updates. But, before we dive into that interview, we'd like you to check out this brief video tutorial illustrating how to use the AI Model Manager in Video Enhance AI. We recently spoke with Taylor Bishop, our lead developer, to discuss why we built it and its meaning for our future app and AI model development. You can use it to download the Artemis Aliased & Moire model, process your video using it, and remove it until the next time you need it.We're very excited about the opportunities that the AI Model Manager affords our users. The right AI model at the right timeĭo you have a one-off low-resolution video that suffers from aliasing? The AI Model Manager allows you to control which models you want to download on the fly. That's why we're excited to announce the AI Model Manager in Video Enhance AI v2.4. Some of our AI models have pretty large file sizes that can have a real-world impact on users, especially those who have limited internet bandwidth to download them or do not have enough hard drive space to locally store them. One item that stood out involves offering better management of these AI models. As we've grown both the number of AI models and the versions of each model in Video Enhance AI, we've listened closely to the helpful feedback our users have provided.
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