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If the content piece is well done, you shouldn’t be able to tell it was AI-assisted. And if it’s valuable, you shouldn’t really care how it was made. You probably don't want mediocre content at all. But mediocrity existed long before AI. But when you use AI with a critical mind, as part of a thinking process, it can actually push your ideas further than your own perspective alone. That's what I argue in the article.


Custom visual AI models go beyond the myth of cheap, easy AI solutions. While general-purpose models are affordable and effective for basic tasks, tailored models designed for specific needs come with higher costs and complexity. These models require top-notch data, deep technical expertise, and careful investment, offering significant benefits and a competitive edge when done right. Instead of a quick upgrade, think of custom visual AI as a strategic business decision that can transform operations when approached wisely.


AI-based content moderation should considerably relieve the amount of harmful content human moderators need to scan. Their job is indeed very traumatic and the issue needs to be addressed.


That's what we believe in and we are hard at work at developing the models. Here's a description of our product which is still in development: https://imagga.com/content-moderation-platform


It does sound like the far future, doesn't it? But no, the blog post tackles applications of image recognition that are knocking on our door.


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