Azure Machine Learning – Public Preview for July | Azure updates | Microsoft Azure
Microsoft Azure has announced several new features available in the public preview of Azure Machine Learning. These updates enable users to create AI workflows that connect to different language models and data sources, making it easier to build and deploy intelligent applications.
One of the key features is the introduction of prompt flow, which allows users to utilize a single platform to build, tune, evaluate, deploy, and test AI workflows. This streamlines the development process and makes it more efficient for developers to create high-quality intelligent applications.
Another exciting addition is the integration of Azure OpenAI Service models into the model catalog of Azure Machine Learning. This means users can now easily access and utilize Azure OpenAI models within their machine learning projects. The model catalog provides a centralized and easy-to-use repository for finding, fine-tuning, and deploying models.
Additionally, the update introduces the LLaMa foundation models from Meta in the model catalog. This allows users to discover, fine-tune, and deploy LLaMa models from Meta directly within Azure Machine Learning. With the availability of these powerful foundation models, developers can enhance the capabilities of their AI applications.
These new features in public preview offer users a comprehensive set of tools to build intelligent applications. By leveraging prompt flow, Azure OpenAI Service models, and LLaMa foundation models, developers can create AI workflows that connect to various language models and data sources. This opens up a world of possibilities for building intelligent applications that can understand and process complex information.
With Azure Machine Learning, developers now have a powerful platform that simplifies the process of building, tuning, deploying, and testing AI workflows. Whether it’s utilizing Azure OpenAI models or fine-tuning LLaMa models, the model catalog provides a convenient way to access and deploy cutting-edge AI capabilities.
In conclusion, the new features now available in the public preview of Azure Machine Learning enable developers to create AI workflows that connect to various language models and data sources. The introduction of prompt flow, Azure OpenAI Service models, and LLaMa foundation models enhances the capabilities of the platform, making it easier to build intelligent applications. With these updates, developers can streamline their development process and create high-quality AI applications with ease.
