How AI Models are Trained

Quick answer: AI models are trained by repeatedly exposing them to a large dataset and adjusting their internal parameters each time so the output moves closer to the patterns in that data. This happens once, before a model is released — using an already-trained model, as Promptus does, is a separate, much faster process than training one.

Training is the process of exposing a model to a large dataset repeatedly, adjusting its internal parameters each time so its output gets closer to the patterns in that data. This happens once, before a model is released, and is separate from every time you actually use the model.

Using an already-trained model to generate a result — what happens every time you run a prompt in Promptus — is called inference, not training. Nothing about your own prompts changes the underlying model; each generation is a fresh application of patterns the model already learned.

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FAQ Section
Frequently Asked Questions
What is Promptus?

Promptus enable users to generate customized, AI videos, high-resolution images, AI characters, music, audio, chat and more with ease using the latest's AI models.

Anyone can use Promptus AI—designers, marketers, hobbyists, or beginners—to generate AI art, photos, and videos quickly and easily.

What is an AI workflow?

An AI workflow is a structured process that turns inputs into repeatable outputs using models, prompts, and logic.

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