Transform and enrich data seamlessly with AI functions

With Microsoft Fabric, all business professionals—from developers to analysts—can derive more value from their enterprise data through Generative AI, using experiences like Copilot and Fabric data agents. Thanks to a new set of AI functions for data engineering, Fabric users can now harness the power of industry-leading large language models (LLMs) to transform and enrich data seamlessly.

AI functions harness the power of GenAI for summarization, classification, text generation, and so much more—all with a single line of code:
- Calculate similarity with ai.similarity: Compare the meaning of input text with a single common text value, or with corresponding text values in another column.
- Categorize text with ai.classify: Classify input text values according to labels you choose.
- Detect sentiment with ai.analyze_sentiment: Identify the emotional state expressed by input text.
- Extract entities with ai.extract: Find and extract specific types of information from input text, for example locations or names.
- Fix grammar with ai.fix_grammar: Correct the spelling, grammar, and punctuation of input text.
- Summarize text with ai.summarize: Get summaries of input text.
- Translate text with ai.translate: Translate input text into another language.
- Answer custom user prompts with ai.generate_response: Generate responses based on your own instructions.

It's seamless to incorporate these functions as part of data-science and data-engineering workflows, whether you're working with pandas or Spark. There is no detailed configuration, no complex infrastructure management, and no specific technical expertise needed.

Fabric notebook as HTML file: https://drive.google.com/file/d/1-pXIA7f287pjqgYIdSiIzc62BSg92Oh3/view?usp=sharing