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How to Build Effective LLMs When Both Basic Infrastructure and Model Training Data Are Lacking

The InfoQ Podcast

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Integrating Machine Learning Challenges into Continuous Development Frameworks

This chapter explores the complexities of incorporating machine learning and AI into conventional development frameworks, particularly focusing on the challenges posed by bugs in AI models. It emphasizes the need for a robust system to identify and manage these bugs, drawing parallels to continuous integration practices in software engineering.

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