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dspy-simba

Use when you want conservative, incremental optimization — making small targeted improvements rather than large changes, useful for already-working programs that need fine-tuning. Common scenarios - your program already works well and you want to improve it without breaking what works, conservative optimization that preserves existing quality, fine-tuning a production program incrementally, or whe

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Atualizado há 4 meses

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Como adicionar

/plugin marketplace add lebsral/DSPy-Programming-not-prompting-LMs-skills

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

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Ler descrição completa

Small-Step Optimization with dspy.SIMBA

Guide the user through using dspy.SIMBA (Stochastic Introspective Mini-Batch Ascent) to optimize DSPy programs through incremental, targeted improvements rather than large sweeping changes.

What is dspy.SIMBA

dspy.SIMBA is a DSPy optimizer that improves programs by analyzing mini-batches of examples, identifying where the program struggles most, and making small targeted fixes -- either adding demonstrations or generating self-reflective rules.

[Description truncada. Veja o README completo no GitHub.]

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