Why does cross-border e-commerce need ChatGPT?

As a typical representative of globalized Internet transactions, cross-border e-commerce has the natural attributes of " cross-border transactions " , " online orders " and " cross-border logistics " , and has high requirements for cross-border rapid information transmission, language translation and communication, online promotion and sales, etc. This requirement will increase significantly as the company expands. The emergence of ChatGPT has greatly alleviated the pain points of cross-border e-commerce's own development capabilities from the technical and application levels.

In large language models ( LLMs ), emergent abilities refer to the ability of the model to automatically learn and discover new, higher-level features and patterns from the original training data. Multi-modal large language models ( MLLMs) can achieve better common sense reasoning performance based on large language models, and cross-modal migration is more conducive to knowledge acquisition and accelerates the emergence of abilities. These independent modal or cross-modal new features, abilities, or patterns are usually not obtained through purposeful programming or training, but are naturally learned by the model in a large amount of multimodal data, similar to "quantitative change leads to qualitative change."

Chain of Thought is the key feature of ChatGPT and GPT-4 that makes the language model "human-like". Through multimodal chain of thought technology, GPT-4 breaks down a multi-step problem into intermediate steps that can be solved separately. When solving multi-step reasoning problems, the chain of thought generated by the model will imitate the human thinking process.

The addition of Reinforcement Learning from Human Feedback ( RLHF) training enables GPT-4 to stably output high-quality answers, ensuring that the model output is beneficial to humans and thus ensuring the security of the model. RLHF is also a key guarantee for keeping multiple rounds of conversations on topic.

ChatGPT solves problems in natural language processing by continuously optimizing training methods and training data, so that the latest generation of GPT-4 supports the simultaneous input of two types of information, images and text, and has better logical reasoning capabilities. Based on the above features, ChatGPT can be closely integrated with multiple business scenarios of cross-border e-commerce and applied in practice, helping enterprises to quickly expand the market at a lower cost.