The last couple of days I have been trying to get my head around DSPy, especially in relation to LangChain and LlamaIndex. We have come to recognise the settle terminology introduced by frameworks…

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DSPy is a lightweight self-optimizing programming model for tasks like question answering and information extraction. It introduces a compact set of versatile modules that can adapt and refine prompts within your pipeline. DSPy does not rely on pre-defined prompts and integrations like LangChain and LlamaIndex. The DSPy workflow involves outlining the task, assembling example inputs, constructing the pipeline, and using an optimizer to generate optimized prompts or fine-tuning configurations.

An Introduction To DSPy