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The Importance of Embeddings in Chat GPT Models
Embeddings are these numerical representations of text. They can be of words, so things like word to spec were methods to give each word a series of numbers that represented and captured its meaning. But then for more we can also go into texting methods, which is you have a list of numbers that represent an entire text or sentence or email or book and speak. The beautiful thing here is that the LLMs captures the meaning. So even if you don't use the same words, the model captures the intent. That's why when these models were rolled out, like especially the birth model in 2019, Google called it one of the biggest sleeps forward in the history of search,. Just that addition