Discover the key Natural Language Processing tasks in Azure OpenAI Service—text classification and language translation—critical for mastering the AI-900 certification. Learn how these capabilities align with exam objectives and enhance AI solution development.
Table of Contents
Question
Which of the following are Natural Language Processing tasks that can be performed by the Azure OpenAI Service? (Choose all that apply.)
A. Image classification
B. Image generation
C. Speech recognition
D. Text classification
E. Language translation
Answer
D. Text classification
E. Language translation
Explanation
Natural Language Processing (NLP) tasks that Azure OpenAI Service can perform include:
- Text classification: OpenAI can categorize text into predefined categories such as sentiment analysis (positive, negative, neutral) or genre classification (fiction, non-fiction, etc.).
- Language translation: The service can translate text from one language to another, leveraging its understanding of language structure and meaning.
OpenAI’s natural language models are trained on tokens which are smaller units of language such as words or parts of words. When a user submits a prompt, the model breaks it down into tokens for processing. GPT models are skilled at both understanding and generating natural language. Examples of GPT models include GPT-3.5-Turbo and GPT-4. They take user prompts as input and generate responses in the form of text, code, or visuals. Some examples of GPT model tasks are:
- Summarizing text: Condensing information into a concise format.
- Classifying text: Identifying the category of a text piece (e.g., genre of a book).
- Generating creative text formats: Creating names, taglines, or writing different kinds of creative content.
- Translation: Converting text from one language to another.
- Answering questions: Providing informative responses to user queries.
- Suggesting content: Recommending items based on user preferences.
Image generation is not an NLP task. While OpenAI offers capabilities for image generation through separate models such as DALL-E, the service specifically focuses on text-based tasks.
Speech recognition is not an NLP task. This involves converting spoken language into text, which is not a core functionality of Azure OpenAI Service.
Image classification is not an NLP task. Similar to image generation, image classification (categorizing images based on their content) falls outside the scope of Azure OpenAI Service’s NLP capabilities.
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