LITTLE KNOWN FACTS ABOUT LARGE LANGUAGE MODELS.

Little Known Facts About large language models.

To pass the data about the relative dependencies of different tokens showing at various locations in the sequence, a relative positional encoding is calculated by some form of Discovering. Two well known sorts of relative encodings are:LLMs demand extensive computing and memory for inference. Deploying the GPT-3 175B model needs at least 5x80GB A10

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