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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Shuvendu Lahiri</author_name><author_url>https://www.microsoft.com/en-us/research/people/shuvendu/</author_url><title>Trusted AI-assisted Programming - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="uJ8IYK5OEh"&gt;&lt;a href="https://www.microsoft.com/en-us/research/project/trusted-ai-assisted-programming/"&gt;Trusted AI-assisted Programming&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/project/trusted-ai-assisted-programming/embed/#?secret=uJ8IYK5OEh" width="600" height="338" title="&#x201C;Trusted AI-assisted Programming&#x201D; &#x2014; Microsoft Research" data-secret="uJ8IYK5OEh" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>Machine learning, in particular Large Language Models, has shown great promise at automating several aspects of programming and software development such as coding, testing, integration, static analysis, verification etc. in recent years. In this project, we leverage and extend large language models with ideas grounded in programming languages and correctness to develop trusted AI agents [&hellip;]</description></oembed>
