Different types of prompts - Module 1 (Class 4)

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Prompts are instructions or questions that are given to a language model to guide it in generating text. They can be used for a variety of tasks, such as completing sentences, answering questions, summarizing text, translating languages, and generating creative text formats.


There are many different types of prompts, but some of the most common include:


1. Completion prompts: These prompts provide the language model with a partial piece of text and ask it to complete the rest. For example, the prompt "The quick brown fox jumps over the..." could be completed with the word "lazy dog."

2. Question answering prompts: These prompts ask the language model to answer a question. For example, the prompt "What is the capital of France?" could be answered with the word "Paris."

3. Summarization prompts: These prompts ask the language model to summarize a piece of text. For example, the prompt "Summarize the following article:" could be followed by a link to an article, and the language model would then generate a summary of the article.

4. Translation prompts: These prompts ask the language model to translate a piece of text from one language to another. For example, the prompt "Translate the following sentence into Spanish:" could be followed by the sentence "I love you," and the language model would then generate the Spanish translation "Te amo."

5. Creative text generation prompts: These prompts ask the language model to generate creative text formats, such as poems, code, scripts, musical pieces, email, letters, etc. For example, the prompt "Write a poem about a cat" could be followed by a poem about a cat, or the prompt "Write a code snippet to sort a list of numbers" could be followed by a code snippet to sort a list of numbers.

        In addition to these common types of prompts, there are also many more specialized types of prompts that can be used for specific tasks. For example, there are prompts that can be used to generate text for different types of creative writing, prompts that can be used to generate code for different programming languages, and prompts that can be used to generate reports for different types of data.

Here are some examples of prompts for each of the common types of prompts:

Completion prompts:

  1. The quick brown fox jumps over the _____ dog.
  2. I love to eat _____ and _____ for breakfast.
  3. The capital of France is _____.


Question answering prompts:

  1. What is the capital of France?
  2. What is the chemical formula for water?
  3. What is the meaning of life?


Summarization prompts:

  1. Summarize the following article: [link to article]
  2. Summarize the plot of the movie "The Shawshank Redemption."
  3. Summarize the main points of the book "Pride and Prejudice."


Translation prompts:

  1. Translate the following sentence into Spanish: "I love you."
  2. Translate the following paragraph into Chinese: "The quick brown fox jumps over the lazy dog."
  3. Translate the following document into French: [link to document]


Creative text generation prompts:

  1. Write a poem about a cat.
  2. Write a code snippet to sort a list of numbers.
  3. Write a letter to your future self.


When using prompts, it is important to be as specific as possible. The more specific you are, the better the language model will be able to understand what you are asking for. For example, instead of saying "Write a poem," you could say "Write a poem about a cat." Or instead of saying "Summarize the article," you could say "Summarize the main points of the article."


It is also important to use clear and concise language in your prompts. Avoid using jargon or technical terms that the language model may not understand. And be sure to proofread your prompts before sending them to the language model.


Here are some additional tips for using prompts effectively:


Use context: The more context you can provide the language model, the better it will be able to generate text. For example, instead of saying "Write a poem," you could say "Write a poem about a cat that is lost and trying to find its way home."

Use examples: If you are not sure how to write a prompt, try using examples. For example, if you want the language model to generate a poem, you could provide it with a few examples of poems that you like.

Use feedback: If you are not satisfied with the results that you get from a prompt, try giving the language model feedback. For example, if the language model generates a poem that you do not like, you could tell it what you did not like about the poem and try to give it more specific instructions.


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