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Sometimes you will bang your head on a prompt trying to get the model to output reliable results, but, no matter what you do, it just won’t work. This will freq

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- [What is a Large Language Model?](#what-is-a-large-language-model-llm) - [A Brief, Incomplete, and Somewhat Incorrect History of Language Models](#a-brief-i

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A prompt, sometimes referred to as context, is the text provided to a model before it begins generating output. It guides the model to explore a particular area

A curated collection of **prompt examples** for AI chat models. Originally created for ChatGPT, these prompts work great with any modern AI assistant. | Browse

> :warning: Always assume that any content in a hidden prompt can be seen by the user. In applications where a user is interacting with a model dynamically, su

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If you thought tokens were :fire: in 2022, tokens in 2023 are on a whole different plane of existence. The atomic unit of consumption for a language model is no

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Prompt engineering and large language models are a fairly nascent field, so new ways to hack around them are being discovered every day. The two large classes o

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Sometimes you’ll want the bot to have the capability to perform actions on the user’s behalf, like adding a memo to a receipt or plotting a chart. Or perhaps we

包括但不限于： | 类别 | 描述 | |:----:|--------------------------------------------------

In hidden contexts, you’ll frequently want to embed all sorts of data. The specific strategy will vary depending on the type and quantity of data you are embedd

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Frequently, a natural language response isn’t sufficient on its own and you’ll want the model’s output to cite where it is getting data from. One useful thing

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1) [Bing AI](https://github.com/yokoffing/ChatGPT-Prompts#bing-ai) (and other chatbots allowed to search the internet) 2) [ChatGPT only](https://github.com/yoko

By default, language models output natural language text, but frequently we need to interact with this result in a programmatic way that goes beyond simply prin

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