The chapter discusses the progression of machine learning models from simpler ones like support vector machines to more complex models like large language models, considering factors like computational efficiency. It also explores the strategy of transitioning from large demonstration models to smaller, specialized models for production purposes. Additionally, the conversation delves into the landscape of co-pilots at Microsoft, detailing their integration across various products and the standardization of integrations through plugins and custom code.
Microsoft Copilot is a chatbot developed by Microsoft that launched in 2023 and is based on a large language model.
Justin Harris is a Principal Software Engineer at Microsoft and has an extensive background in classical machine learning and neural networks, including large language models. He joins the show to talk about Microsoft Copilot, natural language processing, ML team organization, and more.
Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer .
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