VetRec with David de Matheu - Weaviate Podcast #92!
Weaviate Podcast
Optimizing Workflow Efficiency and Parallelization in Data Science Programming
This chapter explores distributed messaging cues, multi-threading, managing context across models, the impact of context windows on performance, and balancing parallelization with workflow specificity in data science programming. It emphasizes breaking down workflows into smaller, parallelizable units to optimize efficiency and program quality.
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