🤖 Ever wondered how GPT models actually "read" your text?

Hey everyone! As someone who's been diving deep into AI lately, I wanted to share something that blew my mind when I first learned it - how these amazing language models like GPT actually process our words.

• Tokenization

Let me break down tokenization for you!

Think of it this way - Imagine your text is like a LEGO creation 🧱

Instead of looking at the whole castle, the AI breaks it down into individual LEGO blocks (tokens). Sometimes a big block represents a whole word, sometimes it takes several small blocks to build one word!

They break text into smaller chunks called "tokens."

It's kinda funny how they do it:

• Easy words like "dog" or "jump" usually just become one token. Simple, right?

• But then you get longer words like "incredible," and they might split it up, like "in" + "cred" + "ible."

• And if it's some weird or super technical word nobody really uses, they'll break it down into even tinier bits. It's like they're trying to figure out the building blocks of every word!

AI models, such as GPT-3 and GPT-4, process text in distinct ways.

For instance, GPT-3 might break down a single word into three segments, whereas GPT-4 could divide the identical word into just two.

This variation highlights that each model possesses a unique approach to interpreting and handling text.

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Pro tip for fellow AI enthusiasts:

When crafting prompts, keep in mind that shorter, common words are more "token-efficient." Your 1000-word essay might actually be 1300+ tokens!

It's fascinating how something so technical impacts our daily interactions with AI. The next time you're chatting with ChatGPT or any other AI model, remember - it's not just reading your words, it's solving a puzzle of tokens first!

What's your experience been with AI tokens? Have you noticed any quirky behaviors? Drop your thoughts below! 👇

#chaiaurcode Piyush Garg Hitesh Choudhary #blog #techupdates