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MLOps.community

AI-Driven Code: Navigating Due Diligence & Transparency in MLOps // Matt van Itallie // #275

Nov 29, 2024
In this engaging discussion, Matt van Itallie, founder and CEO of Sema, shares insights on the importance of comprehensive codebase scans for technical due diligence. He reveals how Generative AI is reshaping code transparency and introduces the Generative AI Bill of Materials (GBOM) for managing AI-generated code risks. Matt emphasizes the necessity of bridging technical and business viewpoints in AI evaluation, highlighting practical strategies for assessing cloud costs and optimizing code quality. His insights are invaluable for both technical and non-technical audiences.
57:01

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Quick takeaways

  • Comprehensive codebase evaluations are crucial for MLOps as they translate complex technical aspects into understandable insights for non-technical stakeholders.
  • The rise of generative AI in coding necessitates strict quality reviews to mitigate security risks, highlighting the importance of maintaining high coding standards.

Deep dives

Overview of Codebase Scans

Codebase scans are essential during technical due diligence, especially when companies are being bought or when founders are planning an exit. These scans assess non-functional requirements, categorizing risks into product-related and compliance risks. The product-related risks focus on the maintainability and expandability of the code, while compliance risks address potential legal issues. A successful scan translates complex technical data into scores that non-technical stakeholders can easily understand, making the process accessible to a wider audience.

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