LARGE LANGUAGE MODELS NO FURTHER A MYSTERY

Totally held-out and partly supervised tasks performance enhances by scaling responsibilities or classes While fully supervised duties haven't any resultLLMs need in depth computing and memory for inference. Deploying the GPT-3 175B model needs not less than 5x80GB A100 GPUs and 350GB of memory to retail outlet in FP16 structure [281]. These kinds