AI Flashcards
Zero-Shot Prompting
technique involves asking the AI to perform a task without providing any examples or context. It’s useful for quick, general questions.
One-Shot Prompting
In this method, you provide a single example to guide the AI’s response. It helps the model understand the context better than zero-shot prompting.
Few-Shot Prompting
Similar to one-shot, but with multiple examples. This technique helps the AI generate more accurate responses by providing a few guiding examples.
Chain-of-Thought Prompting
This involves breaking down complex questions into a sequence of related prompts, guiding the AI through a step-by-step reasoning process.
Information Retrieval Prompts
These treat AI models as search engines, asking highly specific questions for detailed answers
Template Prompting
This involves using standardized structures for prompts to elicit specific types of responses, ensuring organized outputs
What is the first step in the statistical analysis of terms in a text in the context of natural language processing (NLP)?
Removing stop words is the first step in the statistical analysis of terms used in a text in the context of NLP.
Which step is creating a vectorized model in statistical analysis?
Creating a vectorized model is not part of statistical analysis.
What is the confidence score returned by the Azure AI Language detection service of natural language processing (NLP) for an unknown language name?
“NaN, or not a number, designates an unknown confidence score.”
Which two Azure AI Services features can be used to enable both text-to-text and speech-to-text between multiple languages?
the Speech service
the Translator service
Which Azure AI Service for Language feature allows you to analyze written articles to extract information and concepts, such as people and locations, for classification purposes?
Named entity recognition can identify and categorize entities in unstructured text, such as people, places, organizations, and quantities, and is suitable to support the development of an article recommendation system.
Which feature of the Azure AI Language service includes functionality that returns links to external websites to disambiguate terms identified in a text?
Entity recognition includes the entity linking functionality that returns links to external websites to disambiguate terms (entities) identified in a text.
For which two scenarios is the Universal Language Model used by the speech-to-text API optimized?
conversational
dictation
Which type of translation does the Azure AI Translator service support?
The Azure AI Translator service supports text-to-text translation, but it does not support speech-to-text, text-to-speech, or speech-to-speech translation.
Which three features are elements of the Azure AI Speech service?
Language identification, speaker recognition, and voice assistants are all elements of the Azure AI Speech service.
Which natural language processing (NLP) workload is used to generate closed caption text for live presentations?
Azure AI Speech provides speech-to-text and text-to-speech capabilities through speech recognition and synthesis. You can use prebuilt and custom Speech service models for a variety of tasks, from transcribing audio to text with high accuracy, to identifying speakers in conversations, creating custom voices, and more.
