LLM Agents Factory: Retrieval of Domain-Specific LLM Agents
Streamlining industrial AI workflows through a retrieval-based repository of 20,000 specialized agent profiles.
Large language model (LLM) agents improve task performance by decomposing problems into role-specialized behaviors. However, their practical deployment is often limited by the computational cost and instability associated with the on-the-fly agent design for each user request. To...
ArXiv CS.CL
Source
Generated insight by OnAirToday AI
LLM Agents Factory shifts the paradigm from expensive, real-time agent generation to a highly efficient retrieval-based framework that leverages a massive repository of pre-built personas. This approach significantly reduces the computational overhead for industrial deployments while maintaining the high-performance standards required for complex, multi-step problem solving.
Comments
Keep comments relevant and respectful. No links, advertising, self-promotion, or spam.