通过设计提示(prompt)模板,实现使用更少量的数据在预训练模型(Pretrained Model)上得到更好的效果,多...
我们还可以采取一种叫做Self-Consistency的技巧,也即用同样的COT Prompt向LLM提问多次(temperature需要设置...
OPRO - introduces the idea of using LLMs to optimize prompts: let LLMs "Take a deep breath" improves the performance on math problems. AutoPrompt - proposes an approach to automatically create prompts for a diverse set of tasks based on gradient-guided search. Prefix Tuning - a lightweight...
与LLM和传统编程有着很大的不同,Prompt engineering 和 Prompt Learning 是让我们可以和大模型好好聊天和协作的有效工具。 祝大家玩得愉快,未来的提示工程师(Prompt Engineers) 和 模型训练工程师( Model Training Engineers)们。 import openai import json5 import re key = "YOUR OPEN AI API KEY" openai.api...
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Few-shot prompting is a technique that enables an LLM to generate coherent text with limited training data, typically in the range of 1 to 10 examples. In this Python code, we import the FewShotPromptTemplate from LangChain and then add a few examples. Next, we create the sam...
论文:The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions 地址:https://arxiv.org/pdf/2404.13208 指令层次结构 LLM之所以会受到prompt注入、越狱等攻击,主要原因是LLM通常认为系统提示与来自不受信任的用户和第三方的文本具有相同的优先级。这样当然会导致LLM把不安全的prompt当成和系统提示同...
s, the model is trained to be general, allowing it to come up with creative answers, engage in complex conversations and even display a sense of humor. AI doesn't possess comprehension, understanding or belief, however. Its responses are generated based on patterns learned from training data....
Large language models (LLMs) have the ability to learn new tasks on the fly, without requiring any explicit training or parameter updates. This mode of using LLMs is called in-context learning. It relies on providing the model with a suitable input promp
I don't understand why this should work at all. Let's simplify the matter: assume an LLM is trained only on stackoverflow questions and answers. Since no question on SO starts with such a sentence, the pre-prompt actually makes the prompt more different from trai...