В следующем посте напишу гораздо подробнее как это работает под капотом. Если вам не терпится то можете почитать вот такие статьи AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents Advancing Model Research in AgentX: Long-Horizon Autonomy for Industrial Recommender Systems RecEvolve: A Knowledge-Driven Autonomous Agent System for Recommender Systems Astar: Learning to Propose Evolution Directions for Self-Evolving Industrial AI Systems NOVA: A Verification-Aware Agent Harness for Architecture Evolution in Industrial Recommender Systems AutoLR: Automating the Path from Research to Launch Review in Industrial Recommender Systems Auto-RecSys: Harnessing Autonomous Research Agents for Industry-Scale Recommender System RecSys Factory: Bounding LLM Agent Autonomy to Decision Points in the Industrial Recommender Lifecycle AutoML for Deep Recommender Systems: A Survey
Ну или подождать пока я их прочитаю и напишу пост 🤓
