Results for “deep-modules”

Orchestrates three frontier models to debate a question and synthesizes their best insights into a single superior answer.

Build complex AI systems with declarative programming, optimize prompts automatically, and create modular RAG systems and agents using Stanford NLP's DSPy framework.

Plans and executes complex, multi-step research by decomposing questions, orchestrating subagents, and synthesizing findings into reports.