Best Large Language Models for Microsoft Intelligent Data Platform

Compare the Top Large Language Models that integrate with Microsoft Intelligent Data Platform as of July 2025

This a list of Large Language Models that integrate with Microsoft Intelligent Data Platform. Use the filters on the left to add additional filters for products that have integrations with Microsoft Intelligent Data Platform. View the products that work with Microsoft Intelligent Data Platform in the table below.

What are Large Language Models for Microsoft Intelligent Data Platform?

Large language models are artificial neural networks used to process and understand natural language. Commonly trained on large datasets, they can be used for a variety of tasks such as text generation, text classification, question answering, and machine translation. Over time, these models have continued to improve, allowing for better accuracy and greater performance on a variety of tasks. Compare and read user reviews of the best Large Language Models for Microsoft Intelligent Data Platform currently available using the table below. This list is updated regularly.

  • 1
    Azure OpenAI Service
    Apply advanced coding and language models to a variety of use cases. Leverage large-scale, generative AI models with deep understandings of language and code to enable new reasoning and comprehension capabilities for building cutting-edge applications. Apply these coding and language models to a variety of use cases, such as writing assistance, code generation, and reasoning over data. Detect and mitigate harmful use with built-in responsible AI and access enterprise-grade Azure security. Gain access to generative models that have been pretrained with trillions of words. Apply them to new scenarios including language, code, reasoning, inferencing, and comprehension. Customize generative models with labeled data for your specific scenario using a simple REST API. Fine-tune your model's hyperparameters to increase accuracy of outputs. Use the few-shot learning capability to provide the API with examples and achieve more relevant results.
    Starting Price: $0.0004 per 1000 tokens
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