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action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home4/scienrds/scienceandnerds/wp-includes/functions.php on line 6114Source:https:\/\/techcrunch.com\/2023\/05\/23\/microsoft-debuts-azure-ai-studio-to-let-developers-build-their-own-ai-copilots\/<\/a><\/br> Microsoft wants companies to build their own AI-powered \u201ccopilots\u201d \u2014 using tools on Azure and machine learning models from its close partner OpenAI, of course.<\/p>\n <\/a>Today at its annual Build conference<\/a>, Microsoft launched Azure AI Studio, a new capability within the Azure OpenAI Service<\/a> that lets customers combine a model like OpenAI\u2019s ChatGPT<\/a> or GPT-4 with their own data \u2014 whether text or images \u2014 and build a chat assistant or another type of app that \u201creasons over\u201d the private data. (Recall that Azure OpenAI Service is Microsoft\u2019s fully managed, enterprise-focused product designed to give businesses access to AI lab OpenAI\u2019s technologies with added governance features.)<\/span><\/p>\n Microsoft defines a \u201ccopilot\u201d as a chatbot app that uses AI, typically text-generating or image-generating AI, to assist with tasks like writing a sales pitch or generating images for a presentation. The company has created several such apps, such as Bing Chat<\/a>. But its AI-powered copilots can\u2019t necessarily draw on a company\u2019s proprietary data to perform tasks \u2014 unlike copilots created through Azure AI Studio.<\/p>\n \u201cIn our Azure AI Studio, we\u2019re making it easy for developers to ground Azure OpenAI Service models on their data \u2026 and do that securely without seeing that data or having to train a model on the data.\u201d John Montgomery, Microsoft\u2019s CVP of AI platform, told TechCrunch via email. \u201cIt\u2019s a tremendous accelerant for our customers to be able to build their own copilots.\u201d<\/p>\n In Azure AI Studio, the copilot-building process starts with selecting a generative AI model like GPT-4. The next step is giving the copilot a \u201cmeta-prompt,\u201d or a base description of the copilot\u2019s role and how it should function.<\/p>\n Cloud-based storage can be added to AI copilots created with Azure AI Studio for the purposes of keeping track of a conversation with a user and responding with the appropriate context and awareness. Plug-ins extend copilots, giving them access to third-party data and other services.<\/p>\n
\nMicrosoft\u2019s Azure AI Studio lets developers build their own AI \u2018copilots\u2019<\/br>
\n2023-05-23 22:05:36<\/br><\/p>\n