When learning the engineering ideas of many AI applications, the cue words they write are often an important part of the application, and little brother I've learned countless cue word cracking commands the hard way, and often have to do one or more rounds of questioning based on the characteristics of different large models before I can find the cue word behind it. Now the problem gets easier, here's this...
Summarization is one of the big model base capabilities, which is a task that is both simple and complex, requiring big model base capabilities and explicitly purposeful constructor instructions to perform correctly. Why? Let's start with two examples given in the official Big Model documentation. For example, the official OPENAI provides summarization will...
SEO pseudo-original instructions from the prompt instruction (Promot) plus external knowledge together, only the use of instructions can still achieve certain results, but the essence of the instruction is the introduction of external SEO article writing knowledge, it is recommended to use in conjunction. The introduction of external role is not through the large language model "general knowledge" theory...