Low code, no code, accelerated code, & failing code
Practical AI
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Navigating Code Reproducibility and Low-Code Tools
This chapter delves into the obstacles of code reproducibility in software development, emphasizing the significance of containerization for managing dependencies. It also explores the rise of low-code and no-code solutions in machine learning, balancing accessibility for non-coders with the need for customization. The discussion reflects on the stagnation in deep learning innovations while expressing optimism for the future integration of these tools within established development practices.
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