ChatGPT: Development History, Technical Principles, and Future Investment Trends

ChatGPT has become a viral AI chatbot, prompting many users to explore its capabilities.

Lin Huiwen, Vice President of ZhenFund, shared insights on ChatGPT’s development history, technical principles, and investment trends.

Compared with earlier models such as GPT‑3 and META, ChatGPT offers stronger contextual understanding, more accurate intent detection, and superior multi‑turn conversation abilities.

Examples demonstrate ChatGPT generating text in the style of Lu Xun, answering with exaggerated expressions, and writing Go code with explanations.

The core improvements stem from Reinforcement Learning from Human Feedback (RLHF), where human labelers provide preferred answers, create reward models, and iteratively refine the model until it aligns with human expectations.

The article also reviews the evolution of natural‑language processing: from rule‑based systems, through convolutional neural networks, to the breakthrough Transformer architecture in 2017, and the successive GPT series.

Future investment opportunities include specialized AI chatbots, translation services, vertical AI applications (healthcare, education), and AI infrastructure such as model serving and training.

References are provided for further reading.