Exploring the Role of Data in AI Models and the Evolution of AI Technology

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The chapter delves into the significance of data in AI models, particularly focusing on GitHub Copilot's utilization of public GitHub repositories for training. It discusses the challenges facing new languages without sufficient training data and considers using large language models for translation tasks as a solution. The conversation also touches on the transparency of flaws in AI technology, the efficiency of tools like Copilot in software development, and the potential future impact of AI systems like Co-Pilot.

Mark Russinovich, Eric Boyd & Neha Batra join us to discuss the state of AI for Microsoft and OpenAI at Microsoft Build 2024. It’s safe to say that Microsoft is all-in on AI.

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