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Identify an application of language models in generative AI.
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Generating natural language text.
What are discriminative models used for in AI?
Discriminative models classify or predict labels for data points.
What capability does the Generative AI App Builder provide?
Allows creation of GenAI applications without coding.
What are foundation models in the context of generative AI?
Large AI models pre-trained on extensive data that can be adapted to various tasks.
What distinguishes generative AI from traditional AI models?
Generative AI focuses on creating new content based on learned patterns, unlike traditional AI models that primarily predict or classify.
What is the purpose of Google's Generative AI Studio?
Tools for exploring and customizing GenAI models.
Name a characteristic structure used in generative AI and its function.
Transformers, which include encoder-decoder structures, manage various forms of input and output.
Define generative AI.
A type of AI technology that can produce content like text, imagery, audio, and synthetic data.
What is the function of the Palm API in Google's generative AI tools?
It integrates with tools for model training, deployment, and monitoring.
Explain the concept of semi-supervised learning.
A method that uses both labeled and unlabeled data to train models.
Describe an example use case for generative AI in software development.
Code generation, which includes converting code, debugging, explaining, crafting queries, translating, and generating documentation.
How do generative models function?
Generative models learn from existing data to generate new data instances.
How do unsupervised machine learning models operate?
They train on unlabeled data to discover patterns or groupings.
Explain the role of neural networks in deep learning.
Neural networks process complex patterns, enabling deep learning to work with both labeled and unlabeled data.
In what scenario would you use a text-to-task model?
To perform actions or tasks based on text inputs.
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