![]() ![]() The creator makes art, and the judge decides if it’s real or fake, helping both improve over time. Generative Adversarial Network (GAN): GANs are like an art contest between a creator and a judge.Discriminator: In a GAN, the discriminator is the part that judges whether something created by the generator is real or fake, helping both parts improve over time.Deep learning: an AI that learns from large amounts of data and makes decisions without being explicitly programmed.Computer vision: an AI that can understand and interpret images or videos, such as recognizing faces or objects.Algorithm: a set of instructions that tells a computer what to do to solve a problem or make a decision. ![]() Now that we’ve zeroed in on Generative AI let’s understand some critical terms of interest to filmmakers. Unless otherwise stated, when we say AI in the rest of this article, we mean Generative AI. In layperson’s terms, Generative AI tools imitate human reasoning and responses based on models derived from examples created by humans. Generative AI models learn the patterns and structure of training data and then generate new data with similar characteristics. Generative AI is a system capable of generating text, images, or other media in response to natural language prompts. This continued through the early 2000s as AI tools solved complex theorems, and concepts such as machine learning and neural networks took form through well-funded data mining companies like Google.Īll this development set the stage for Generative AI, which is what most people are describing when the term AI is being used. Development slowed after a while but was renewed in the 1980s with updated AI analysis tools and innovations in robotics. Initial incarnations included computers that could play checkers, solve math problems, and communicate in English. It was first recognized as an academic discipline back in 1956 at Dartmouth College. (If you’d prefer to skip ahead, click here.) AI termsĪrtificial Intelligence has been around longer than you might realize. ![]() As a team, our goal was to establish how far we could push these new tools, whether they’re capable of delivering viable results, and what they might allow us to achieve on an extremely limited budget.īefore we get too deep into the process, let’s begin with some definitions of AI terms and the current AI filmmaking tools. With a group of like-minded and very technical friends, I created a project that combined traditional and virtual production techniques with cutting-edge AI tools aimed at generating new forms of media. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |