Prompt engineering can be used to make money and build businesses without coding, by leveraging OpenAI Playground and GPT3 to create AI-based solutions.

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  00:00

  In 15 minutes, I'll show you how to use prompt engineering to make money and build businesses without coding.

  • In 15 minutes, I will teach you how to use prompt engineering to make money and build businesses without coding experience.
  • The quality of your input determines the quality of your output when using large language models like GPT3.
  • Changing prompts can drastically affect the outcome of a task, so prompt engineering is focused on finding the optimal prompts for any task.
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  02:02

  OpenAI Playground provides a platform to interact with Open AI Suite products and use GPT3 to engineer prompts for base models.

  • The Open AI Playground provides a platform to interact with Open AI Suite products in their natural state, which can then be scaled and productized.
  • GPT3 can be used to engineer prompts for base models, which is the focus of this video.
  • OpenAI has a prompt that allows users to remove personal information from emails and replace it with placeholders.
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  04:16

  Different code related models have different functions, pricing, temperature, max length, and penalties to control output.

  • Different code related models serve different functions and have different pricing, and the temperature setting determines the randomness of the output.
  • The max length setting determines the length of the response from the model, and the frequent and presence penalties can be used to prevent repetition and encourage new topics.
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  05:56

  Prompting AI with roles can help it solve problems correctly and GPT has been set into a helpful AI assistant mode.

  • Prompting AI with roles, such as "brilliant mathematician", can help it solve problems correctly.
  • Chat GPT has been set into a helpful AI assistant mode, which can provide friendly responses to questions.
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  07:11

  AI can be used to answer questions with zero, one, or few-shot prompting, based on context and examples given.

  • Giving AI context and an example of an interaction between a human and a bot helps the AI understand the question and give better answers.
  • AI can be used as an autocomplete engine with zero shot prompting, where no structure or expectations are given.
  • AI can answer questions based on one-shot, few-shot, and role prompting, using the structure and tone of the given examples.
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  09:29

  Using few-shot learning and Chain of Thought prompting, you can create an AI-based YouTube video idea generator.

  • Using few-shot learning, you can create an AI-based YouTube video idea generator that is tailored to the style, tone, length, and structure of the examples you provide.
  • Chain of Thought prompting encourages large language models to explain their reasoning, resulting in better and more accurate results.
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  11:16

  Learn prompt engineering and start selling your services - it's a highly lucrative skill for the next 1-2 years!

  • Arithmetic common sense and symbolic reasoning tasks have seen an increase in accuracy.
  • Chain of Thought prompting is a great tool for prompt engineers to use for specific tasks, and another method is called One-Shot prompting.
  • Prompt engineering is a highly lucrative skill for the next 1-2 years, so learn it and start selling your services.
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  13:22

  Leverage prompt engineering to create a business in 30 minutes with one well-written prompt and user input.

  • Learn prompt engineering skills and create a teaching business or build a business around a well-written prompt to make money from the AI Revolution.
  • Dr Alan d Thompson has created an AI assistant called Lita AI using a GPT3 model and a well-written prompt.
  • Create a tool to sell by writing a prompt, such as an Ed Sheeran song generator.
  • Creating a tool to generate a song in the style of Ed Sheeran based on user input, with the potential to make money from it.
  • With prompt engineering, you can create a valuable business in half an hour with one carefully written prompt and some user input.