How can LLMs generate content that

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mdh673558
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注册时间: 29 1月 2024, 11:05

How can LLMs generate content that

帖子 mdh673558 » 29 1月 2024, 11:25

They have since become the foundation for most state-of-the-art language models. ChatGPT wouldn’t work without transformers. The “attention” mechanism allows the model to focus on different parts of the input data, much like how humans pay attention to specific words when understanding a sentence. This mechanism lets the model decide which parts of the input are relevant for a given task, making it highly flexible and powerful.

The code below is a fundamental breakdown of transformer DB to Data mechanisms, explaining each piece in plain English. class Transformer: Explained like I'm five: Imagine you have some stickers, some are shiny (positive numbers) and some are dull (negative numbers). This rule says to replace all dull stickers with blank ones. return max(0, x) How generative AI works – in simple terms Think of generative AI as rolling a weighted dice. The training data determine the weights (or probabilities).

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If the dice represents the next word in a sentence, a word often following the current word in the training data will have a higher weight. So, “sky” might follow “blue” more often than “banana”. When the AI “rolls the dice” to generate content, it’s more likely to choose statistically more probable sequences based on its training. So, “seems” original? Let’s take a fake listicle – the “best Eid al-Fitr gifts for content marketers” – and walk through how an.

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