prompt_parts.append(f"输入数据: {self.input_data}") if self.output_indicator: prompt_parts.append(f"输出指示: {self.output_indicator}") return "\n".join(prompt_parts) def get_response(self): prompt = self.generate_prompt() try: response = openai.Completion.create( engine="text-davinci...
指令数据集输入和输出两部分组成,输入就是人给机器下达的指令或者问机器的问题,当然也可以包含背景知识,输出就是机器对指令或问题的回复。比较主流的指令数据集的格式有两种。一种是instruction、input和output。instruction为指令,input为背景知识,output为机器人的回复。另一种是input和ou...
里面用了两个比较新的技术,第一个是上文提到的self-instruct,就是让GPT或者市面上的LLM在我们人工产生的种子instruction上去产生一系列更多的instruction,包括配套每一个instruction的input和output。斯坦福将这部分用GPT-3.5(text-davinci-003)产生的instruction数据慷慨开源,见github。不仅如此斯坦福还给出了产生这些...
alpaca的格式进行对齐, 你可以自定义get_*_dataset函数, 只需要返回的数据集含 instruction和output字段...
, "input": "", "output": "1. Eat a balanced and nutritious diet: Make sure your meals are inclusive of a variety of fruits and vegetables, lean protein, whole grains, and healthy fats. This helps to provide your body with the essential nutrients to function at its best and can help...
2.输入数据(Input Data):输入数据是模型需要处理的具体信息。3.背景信息(Context):背景信息为模型提供了执行任务所需的环境信息或附加细节。4.输出指示器(Output Indicator):输出指示器定义了模型输出的期望类型或格式。设计 Prompt 时,合理结合这四个元素,能够显著提升大语言模型的响应效果和输出质量。
PURPOSE:To improve the response time of the input/output processing by not delaying the issue of an input/output instruction up to the collecting time point of a check point. CONSTITUTION:An input/output instruction issue system includes an input/output instruction issue means 17 which occasionally...
No template:Only inputs are outputs were given to the model. For example, the input for a translation task would be “the dog runs,” and the target output would be “le chien court.” Dataset name:Each input was preceded by the name of the task and dataset. In our translation example...
[ {"instruction": instruction string, "input": input string, # (may be empty) "output": output string} ] Note that, for CoT datasets, we first use the template provided by FLAN to change the original dataset into various Chain-of-Thoughts forms, and then convert it to the above ...
一般来讲,我们所说的指令遵循语言模型的输入是指令,而输出是对指令做出的回应。 In general, the input to an instruction-following language model is an instruction, and the output is a response to the instruction. 但在这篇论文中,作者训练了一个“相反方向”的模型,输入是已经决定好的回应,而输出是与...