Hybrid Agent‑Workflow Pattern Lets LLMs Dynamically Tune Models
The article shows how to keep a predefined pipeline while inserting an LLM‑driven agent at the uncertain hyper‑parameter tuning stage. This hybrid design retains overall control but lets the model explore configurations adaptively, cutting manual tuning time. It demonstrates a practical middle ground between rigid chains and fully autonomous agents.