How To Use Tokens In ChatGPT To Achieve Better Word Counts
A.I. - ChatGPT - How To

How To Use Tokens In ChatGPT To Achieve Better Word Counts

If you’ve used ChatGPT for longer projects, you’ve probably figured out that “please give me 10,000 words on the health impacts of deep breathing” might output at 1200, 3000 or 4203 words – or somewhere in between.

This issue arises from the fact that ChatGPT operates on a token system, so “word count” is kind of irrelevant. After all, the number of words per token can vary depending on the complexity of the word, making it difficult to predict the length of the output in terms of word count, even if you add something like “exactly” or “precisely” to your prompt, you won’t likely get proper results.

To help you better manage the length of your output, you need to think a bit mathematically then. This is where token count comes in handy when you need to regulate the length of your response.

How To Use Tokens In ChatGPT To Achieve Better Word Counts

Tokens are essentially fragments of words that OpenAI/ChatGPT uses to measure the length of a piece of text. However, tokens are not precisely segmented at the beginning or end of words, as they can include extra spaces and even parts of words. Here are a few general guidelines to help you understand how tokens relate to length in written content.

  • 1 token ~= 4 chars in English
  • 1 token ~= ¾ words
  • 100 tokens ~= 75 words

Or

  • 1-2 sentence ~= 30 tokens
  • 1 paragraph ~= 100 tokens
  • 1,500 words ~= 2048 tokens

For example, let’s say you needed a 5 word headline and ChatGPT keeps generating headlines that are either too long or too short, you could try adding your token length to the prompt.

For example:

0001blog

Here’s a general chart for some common lengths:

Output LengthToken CountWord CountCharacter Count
Headline8-124-716-28
Subheading17-2511-1844-72
Instagram Caption225-375168-281672-1125
Blog Post375-625281-4691125-1875
7-Minute YouTube Script1350-22501013-16884050-6750
Essay10,667-16,0008000-12,00032,000-48,000
Long Book Summary33,333-50,00025,000-37,500100,000-150,000

Everything is a degree of approximation, but you’ll generally find that tokens instead of word counts will give you more control on the outputs, and more accurate results.

DON’T MISS WHAT’S NEXT – JOIN THE DEPT.

Take a look at our Privacy Policy for more info.

You may also enjoy:

• Web3 Glossary
• From ELIZA to ChatGPT: History of A.I.
 Use ChatGPT for Instagram captions


How To Use Tokens In ChatGPT To Achieve Better Word Counts: share this graphic below with a ChatGPT user in your circles:

CHATGPT

SIGN UP TO GET EARLY ACCESS TO THE FREE A.I. PROMPT DATABASE DESIGNED TO MAKE YOUR JOB A LITTLE BIT EASIER.

futuristic carpenter astronaut saleswoman doctor cashier sitting at laptops looking at a lar 56815208 1 2048x2048 1 edited


SIGN UP BELOW

JOIN THE DEPT.

retrofuturism style office worker in the future 261771490 edited

FROM AI TO WEB3, TECH MOVES FAST. SO DOES THE DEPT.
Don't lose step in the rapidly changing field of digital content + marketing.

Read our privacy policy for more info.

One comment on “How To Use Tokens In ChatGPT To Achieve Better Word Counts

Leave a Reply

Your email address will not be published. Required fields are marked *