Donβt Sleep On Your B-Roll, AI Giants Are Buyers (Guest Column)
To ensure an AI model delivers expected results, it needs to be initially educated on extensive, trustworthy, and precise data sets. Often, these models are schooled using web-accessible content that might not have been verified. Such a practice can pose issues during product creation. For instance, if numerous AI systems learn from the same easily obtainable resources, their algorithms may start making similar predictions or producing alike results, reducing the uniqueness and value of both the AI models and the outputs they create for users.