Technical Principles of ChatGPT and Its Prospects for Replacing Traditional Search Engines
The article explains how ChatGPT builds on GPT‑3.5 with supervised fine‑tuning, reward‑model training and reinforcement learning from human feedback, analyzes why it cannot yet replace search engines due to hallucinations, knowledge freshness and cost, and proposes a hybrid architecture that combines LLM generation with traditional retrieval to overcome these limitations.
