With AI Assist for Confluence you can request OpenAI an endless amount of instructions based on a piece of text you selected on a Confluence page, including:
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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.
Semantic Search
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.