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Update optimizer overview to include the description of SIMBA #9026

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Update optimizer overview to include the description of SIMBA #9026

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2 changes: 1 addition & 1 deletion docs/docs/learn/optimization/optimizers.md
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Expand Up @@ -58,7 +58,7 @@ These optimizers produce optimal instructions for the prompt and, in the case of

6. [**`MIPROv2`**](../../api/optimizers/MIPROv2.md): Generates instructions *and* few-shot examples in each step. The instruction generation is data-aware and demonstration-aware. Uses Bayesian Optimization to effectively search over the space of generation instructions/demonstrations across your modules.

7. [**`SIMBA`**](../../api/optimizers/SIMBA.md)
7. [**`SIMBA`**](../../api/optimizers/SIMBA.md): Uses stochastic mini-batch sampling to identify challenging examples with high output variability, then applies the LLM to introspectively analyze failures and generate self-reflective improvement rules or add successful demonstrations.

8. [**`GEPA`**](../../api/optimizers/GEPA/overview.md): Uses LM's to reflect on the DSPy program's trajectory, to identify what worked, what didn't and propose prompts addressing the gaps. Additionally, GEPA can leverage domain-specific textual feedback to rapidly improve the DSPy program. Detailed tutorials on using GEPA are available at [dspy.GEPA Tutorials](../../tutorials/gepa_ai_program/index.md).

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