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glm-4-plus's advanced algorithms, such as proximal policy optimization (ppo), make it perform better in mathematical problems and programming tasks, and are closer to human needs. compared with international leading models such as gpt-4 and llama 3.1, glm-4-plus has demonstrated a comparable level in text processing and has reached international standards in long text processing.

this technological innovation means that areas such as logistics information processing, customer service automation and personalized recommendations will be more efficient and accurate, bringing a more convenient experience to users. in addition, the open api of glm-4-plus also promotes industry innovation and application diversification.

however, as technology develops rapidly, we must also pay attention to ethical issues. for example, issues of bias and fairness in model output, and responsible ai practices. the zhifang ai team is constantly optimizing the model and emphasizes the importance of user feedback in future developments.

the emergence of glm-4-plus has opened a new chapter for the e-commerce express delivery industry, but it has also brought new thinking and challenges. we need to take the opportunities and risks brought by technology seriously, and work together to promote responsible ai practices and create a better future.