A large language model (LLM) is a computer program that takes in text and outputs predictions (completions) about the next word in the text. For example, if you give the language model the text “The quick brown fox”, it might output the prediction “jumped”. What is zero-shot prompt engineering? Zero-shot prompt engineering is the process …
Zero-shot Prompt Writing for Large Language Models Like GPT-3 Read More »
A Language Model (LM), like GPT-3, is a complex system, and the quality of the results you get from them depends on how you write your prompts. Prompt writing, or “prompt engineering” to some, is the process of designing prompts that will produce the best possible results. Designing language model prompts can be difficult, but …
WFH Brian’s Perspective-Context-Action Framework for Prompt Writing Read More »
Many people have been looking for ways to explore AI and prompt engineering. One of the best ways to do that is by using Obsidian and the text generator plugin to tap into the power of GPT-3. As a user of Obsidian, I was excited to learn about the text generator plugin. This plugin allows …
How I use GPT-3 with Obsidian to explore prompt engineering Read More »
If you’re looking to get the most out of GPT-3, it’s important to keep a few things in mind. First and foremost, you must be clear and specific with your prompts to ensure that GPT-3 generates the desired results. Additionally, concise instructions can help guide the algorithm toward your desired outcome. When writing your prompt, …
How to Get the Most Out of Writing GPT-3 Prompts Read More »
First, I asked GPT-3 to define prompt engineering. Second, I asked about the important parts of a prompt. I was surprised that the response suggested including motivation for the model. So, third, I asked what might make the prompt motivating. These are the results. To understand what goes into making a good prompt, I first …
Asking GPT-3 about prompt engineering experiment Read More »
