What instructions can I give to OpenAI? - AI Assist for Confluence

AI Assist for Confluence allows you to request OpenAI for a wide variety of instructions based on a selected piece of text from a Confluence page. This page lists u number of possible instructions you can request to OpenAI.

Some of the instructions you can request include:


Summarize

OpenAI can create a shorter version of the text that captures the most important points.

Rephrase

OpenAI can provide alternative ways of expressing the same idea, making the text more clear or concise.

Translate

OpenAI can translate the text from one language to another.

Edit

OpenAI can edit the text to improve grammar, style, or tone.

Question-Answering

OpenAI can provide answers to questions based on the text.

Sentiment Analysis

OpenAI can determine the overall sentiment or emotion conveyed by the text.

Content Generation

OpenAI can generate new content based on the input text, such as a story, poem, or essay.

Fact-Checking

OpenAI can verify the accuracy of statements made in the text by cross-referencing them with external sources.

Image Captioning

OpenAI can generate a caption for an image based on the text description.

Text Completion

OpenAI can generate a continuation of the text based on the input, which can be useful for writing prompts or suggestions.

Named Entity Recognition

OpenAI can identify and classify entities mentioned in the text, such as people, organizations, and locations.

Topic Modeling

OpenAI can identify the main topics discussed in the text and provide a summary of the content.

Content Classification

OpenAI can classify the text into categories such as news, sports, or finance based on its content.

Contextual Understanding

OpenAI can analyze the context of the text to better understand its meaning and provide more accurate suggestions or responses

Paraphrasing

OpenAI can rephrase the text to express the same idea in a different way, which can be useful for avoiding plagiarism or improving clarity.

Language Modeling

OpenAI can use the text to train a language model, which can be used for various natural language processing tasks such as text generation, translation, and sentiment analysis.

Entity Linking

OpenAI can link entities mentioned in the text to external knowledge bases, providing additional information about them.

OpenAI can use the text to perform a semantic search, which can find documents that are related to the input based on their meaning rather than just keywords.

Content Personalization

OpenAI can use the text to personalize content for individual users based on their interests, preferences, or behavior.

Abstractive Summarization

OpenAI can generate a summary of the text that is not just a selection of the most important sentences, but a new, shorter text that captures the essence of the original content.

Text Classification

OpenAI can classify the text into predefined categories, such as spam, sentiment, or topic.

Sentiment Analysis with Emotion Detection

OpenAI can determine not only the overall sentiment conveyed by the text, but also the specific emotions associated with it, such as joy, sadness, or anger.

Style Transfer

OpenAI can transfer the style of one text to another, which can be used for creating different versions of the same content, such as adapting a formal text to a more casual tone.

Language Translation with Context Preservation

OpenAI can translate the text while preserving its original context, which can lead to more accurate translations, especially in cases where idiomatic expressions or cultural references are involved.

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