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Why these models were selected

Roles and weight updates come from the paper case record. Selection reasons are written only when the paper or code states them; unknown is never inferred as fact.

Paper model roles and selection-evidence status
ModelRoleWeights updatedSelection basis
GPT-3.5 TurbopolicyNoNot recorded: verify in the paper/code
Llama 2 13B ChatoptimizerNoNot recorded: verify in the paper/code

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

2023-10-05 · Verified

Paper info

Evolution targets
Prompt tuning, Actor policy
Benchmark
HotpotQA, GSM8K, BoolQ
Category
Self-evolving agent, Prompt evolution, Multi-agent
Model relations
2

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Reproducibility status

CodeNot verified
CheckpointNot verified
ConfigNot verified
EnvironmentNot verified

No structured reproducibility record has been added yet.

Model-role topology

This view only shows recorded model-role relations; it does not invent workflow edges.

Policy
GPT-3.5 Turbo
Optimizer
Llama 2 13B Chat

This paper record has no workflow edges; the topology above only shows recorded roles and does not treat Actor, Environment, Critic, or Optimizer relations as facts.

Model roles

GPT-3.5 Turbo

Policy · weights not updated · GPT-3.5 Turbo as a target LM whose prompts are compiled by DSPy.

Llama 2 13B Chat

Optimizer · weights not updated · Llama-2-13B-Chat used as open-source LM in DSPy pipelines.