Azure Machine Learning offers notebook tutorials for several use cases with prompt flow pipelines. QA Data Generation. QA Data Generation can be used to get the best prompt for RAG and to evaluation ...

When developing flows, you can not only use the built-in tools provided by prompt flow, but also develop your own custom tool. In this document, we guide you through the process of developing your own ...

Machine learning is fast becoming the go-to predictive paradigm for data scientists and developers alike. Of the many tools available for tapping neural networks, Microsoft’s Azure ML Studio ...

Within Azure, they can use various tools to automate their machine learning workflows, such as Prompt Flow, a tool for streamlining the development of AI apps built on large language models (LLMs).

ASOS used Azure OpenAI Service and Azure AI prompt flow with ChatGPT language models to rapidly develop and test an Azure OpenAI-powered customer experience that helps customers discover new looks.

Azure Percept gives you access to affordable hardware that’s ready to work with containerized machine learning models, with a focus on a limited set of scenarios.

Anderson says, “We had experience with machine learning operations (MLOps), and generative AI operations (GenAIOps) was a step further.” Microsoft Visual Studio made it easy to set up a local ...