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Azure Machine Learning
An Azure machine learning service for building and deploying models.
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Regarding the use of Azure Prompt Flow in 2025, it is still a recommended tool. Azure Prompt Flow is designed to streamline the entire development cycle of AI applications powered by Large Language Models (LLMs). It provides a comprehensive solution for prototyping, experimenting, iterating, and deploying AI applications. However, please note that some individual features might still be in public preview and may not be recommended for production workloads.
As for alternatives, while Azure Prompt Flow is a powerful tool, there are other options depending on your specific needs. LangChain and Semantic Kernel are examples of tools that can be used for prompt engineering and LLM-based applications. Each tool has its unique features and benefits, so it might be worth exploring these options to see which one best fits your requirements. For more discussion on these alternatives, please see https://techcommunity.microsoft.com/blog/educatordeveloperblog/llm-based-development-tools-promptflow-vs-langchain-vs-semantic-kernel/4149252
Currently, you are using Azure Prompt Flow in AML studio for a proof of concept (POC). Using it in AI Foundry can offer several added benefits. AI Foundry provides a more integrated environment for developing, testing, and deploying AI applications. It supports prompt tuning, experimentation, and blue/green deployments, which can enhance the efficiency and effectiveness of your AI workflows. Additionally, AI Foundry offers comprehensive evaluation capabilities, allowing you to assess the quality and performance of your prompts and flows.
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