AI at Anaconda with Greg Jennings
Software Engineering Daily
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Optimizing AI Workflows with Graphs and Notebooks
This chapter discusses the integration of graph-based assistant workflows and the optimization of prompts in coding environments, particularly focusing on Jupyter Notebooks. It highlights how these technologies enhance debugging capabilities, user assistance, and exploratory programming while addressing the challenges of AI-generated code accuracy. The conversation also touches on the complexities of AI model integration and the need for tailored evaluation frameworks to ensure effective application in data science.
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