
Self-Discover DSPy with Chris Dossman - Weaviate Podcast #90!
Weaviate Podcast
Efficiency and Optimization in Data Set Transformation
The speaker highlights the efficiency and convenience of using DSPY to turn a data set into examples quickly, with the added benefit of verifying the correctness of the answers. They express the time-consuming nature of developing chain of thought examples manually and praise DSPY for automating this process. Additionally, the speaker mentions the potential of DSPY optimizers like KNN to select examples similar to the tasks, making data processing more efficient. They plan to incorporate DSPY into Dicer AI's pipelines, indicating an intent to explore more open-source implementations and optimizers.
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