From the course: Azure AI for Developers: OpenAI Services and Generative AI Models

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What are embeddings?

What are embeddings?

- [Instructor] What are embeddings? Embeddings are the numerical representation of words, sentences, or other textual elements. They capture the semantic meaning and the relationship between different elements in a dimensional space. Well, that's quite a difficult explanation, right? But let's look into what the problem is. The biggest problem is that computers don't understand the meaning of text. That means when you want to try machine learning models based on text, you somehow need to convert them into numbers, 'cause again, computers do not understand text. They don't understand the meaning of text, to be more specific. So just sending text to a machine learning algorithm or a computer will not do it. So what we do need to do is convert the text into numbers. And once that is done, we can send it to our computer or to our machine learning algorithm. And that is actually what embedding models do. They will convert the text into a vector of numbers, but it's a bit more than just…

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