AI
What is the role of the discriminator in GANs?
What is identifying real vs fake content?
What is it called when AI is breaking down text into smaller pieces that the AI can analyze?
What is Tokenization?
What is the first step in How Generative AI creates outputs?
WHat is inserting the prompt/input?
What is the second step of how Generative AI Creates outputs?
What is understanding the prompt?
What is the sixth step of how AI create outputs?
What is making the final adjustments?
These AI models create "Human-like text"
What is Transformer Models?
a computer system modeled after the human brain is called what?
What is Neural Networks?
any extra or random addition to the training data
What is noise generation?
What is the third step of how AI Creates outputs?
What is pattern matching?
What is the last step of AI creating outputs?
What is displaying the output?
These models start by adding random "noise" to the data and gradually refining everything (refine noisy data)
What is Diffusion Models?
What is it called when AI works in LAYERS, like solving a puzzle.
What is Convolutional Neural Network (CNN)?
a collection of data used to train an AI model
What is a dataset?
What is the fourth step of how AI creates outputs?
What is AI's Neural Network?
How might biases in AI training data impact the outputs generated by AI models?
Biases can lead to skewed representations in AI outputs, potentially reinforcing existing stereotypes or underrepresenting certain perspectives
These AI Models simplify complex data
What is Variational Autoencoders (VAEs)
how models refine noisy or random inputs into clear, structured outputs
What is diffusion?
These models “read” millions of texts, such as books, articles, and websites, to learn how language works.
What is Large Language Models?
What is the fifth step of how AI creates Outputs?
What is generating/creating the output?
What is the primary concern regarding the environmental impact of AI models?
The large energy consumption required for training AI models
These models have 2 major parts. The generator and the discriminator. (create realistic content)
What is Generative Adversarial Networks (GANs)
These are the methods AI models use to improve their outputs over time, making them more accurate, realistic, and closer to what the user wants or needs.
What is Refinement Algorithms?
the settings that control how an AI model learns and operates.
What is Hyperparameters?
What are the 4 steps of Large Language Models?
What is data collection, Pattern recognition, Learn from the patterns, Generate the new content?
What are the 3 image-based tasks?
What is DALL-E, midjourney, and Adobe