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dspy-rlm

Recursive Language Model (dspy.RLM) that explores large contexts via a sandboxed Python REPL -- the LM writes code, queries sub-LMs, and iterates until it produces a final answer. Use when your input is too large for the context window, the model needs to explore data iteratively, you need recursive self-refinement with code execution, or you have research-style tasks requiring programmatic invest

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Atualizado há 4 meses

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Ler descrição completa

Iterative Self-Refinement with dspy.RLM

Guide the user through using DSPy's RLM (Recursive Language Model) module. RLM lets the LM explore data programmatically in a sandboxed Python REPL, writing code to examine inputs, querying sub-LMs for semantic analysis, and iterating until it produces a final answer.

Experimental. RLM is marked as experimental in DSPy. The API may change in future releases.

Step 1: Gather context

Before building with RLM, clarify:

  1. **What data will the L

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

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