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Introduction to AI engineering

The field of AI engineering has emerged over the last several years, fueled by breakthroughs in applied machine learning, computational acceleration, and supporting software frameworks. While similar to traditional software development disciplines, AI engineering requires additional roles, skill sets, and techniques that make it challenging to implement successfully in organizations unfamiliar with AI.



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Introduction to AI engineering

https://codesync.global/media/introduction-to-ai-engineering-garrett-smith

The field of AI engineering has emerged over the last several years, fueled by breakthroughs in applied machine learning, computational acceleration, and supporting software frameworks. While similar to traditional software development disciplines, AI engineering requires additional roles, skill sets, and techniques that make it challenging to implement successfully in organizations unfamiliar with AI.



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https://codesync.global/media/introduction-to-ai-engineering-garrett-smith

Introduction to AI engineering

The field of AI engineering has emerged over the last several years, fueled by breakthroughs in applied machine learning, computational acceleration, and supporting software frameworks. While similar to traditional software development disciplines, AI engineering requires additional roles, skill sets, and techniques that make it challenging to implement successfully in organizations unfamiliar with AI.

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      The field of AI engineering has emerged over the last several years, fueled by breakthroughs in applied machine learning, computational acceleration, and supporting software frameworks. While similar to traditional software development disciplines, AI engineering requires additional roles, skill sets, and techniques that make it challenging to implement successfully in organizations unfamiliar with AI.
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