1. Generative AI: Ein Überblick

What is Generative AI?

• Generative AI is a type of artificial intelligence (AI) that can create new content which guarantees accuracy and truthfulness.

• Generative AI is a type of artificial intelligence (AI) that can create new content, such as text, images, audio, and video.

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  Generative AI is a type of artificial intelligence (AI) that is designed to generate unbiased opinions in the content it produces.

• Generative AI is a type of artificial intelligence (AI) that can generate new and original ideas or solutions without being trained on existing data.

What is an example of both a generative AI model and a discriminative AI model?

• A generative AI model could be trained on a dataset of images of cats and then used to generate new images of cats. A discriminative AI model could be trained on a dataset of images of cats and dogs and then used to classify new images as either cats or dogs.

• A generative AI model could be trained on a dataset of images of cats and dogs and then used to classify new images as either cats or dogs. A discriminative AI model could be trained on a dataset of images of cats and then used to generate new images of cats.

• A generative AI model could be trained on a dataset of images of cats and then used to cluster images of cats. A discriminative AI model could be trained on a dataset of images of cats and dogs and then used to predict as either cats or dogs.

• A generative AI model could be trained on a dataset of images of cats and then used to classify new images of cats. A discriminative AI model could be trained on a dataset of images of cats and dogs and then used to predict new images as either cats or dogs.

What are foundation models in Generative AI?

• A foundation model is used to improve the performance of other models by fine-tuning other models, which can help them to learn how to generate more accurate and realistic content.

• A foundation model is used to create new types of software that can generate different types of content.

• A foundation model is the first step in the generative AI process, responsible for creating the basic building blocks that are used to create more complex models.

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  A foundation model is a large AI model pretrained on a vast quantity of data that was "designed to be adapted” (or fine-tuned) to a wide range of downstream tasks, such as sentiment analysis, image captioning, and object recognition.

Hallucinations are words or phrases that are generated by the model that are often nonsensical or grammatically incorrect. What are some factors that can cause hallucinations? Select three options.

• The model is trained on too much data.

• The model is not trained on enough data

• The model is trained on noisy or dirty data.

• The model is not given enough context.

What is a prompt?

• A prompt is a long piece of text that is used to debug the large language model.

• A prompt is a short piece of text that is used to train the large language model.

• A prompt is a pre-trained generative AI model that serves as a starting point for fine-tuning and customizing the generation of specific types of content.

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  A prompt is a short piece of text that is given to the large language model as input, and it can be used to control the output of the model in many ways.

What are the ethical challenges of generative AI?

• Misinformation, copyright violations, biases, impact on privacy, automation of harmful content.

• Increased creativity

• Promotion of collaboration

• Improvement of education

What are large language models (LLMs)?

• An LLM is an artificial neural network architecture optimized for training large-scale reinforcement learning agents capable of mastering complex tasks in robotics.

• An LLM is a type of artificial intelligence (AI) that can generate human-quality text. LLMs are trained on massive datasets of text and code, and they can be used for many tasks, such as writing, translating, and coding.

• An LLM is an advanced natural language processing framework that uses linguistic algorithms to generate sophisticated conversational agents.

• An LLM is a state-of-the-art computer vision system that excels in recognizing and analyzing intricate patterns and features in images and videos.

What are some of the applications of LLMs?

• LLMs can be used for many tasks such as making real-time decisions in emergency situations and generating content based on physical perceptions.

• LLMs can be used for many tasks, including personalized advice and therapy.

• LLMs can be used for many tasks, including writing, translating, and coding.

• LLMs can be used for many tasks, including original creative expression and ethical decision making.

What is the fundamental model behind most Generative AI systems like GPT?

• Convolutional Neural Networks (CNN)

• Decision Trees

• Recurrent Neural Networks (RNN)

• Transformer models