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Designing Effective Large Language Models by alan birtok is a document available to read on EtoBox.

This document provides guidance for designing large language models (LLMs). It discusses that LLMs are trained on massive text datasets using transformer architectures. When designing an LLM, factors to consider include the training data, size, architecture, algorithm, and evaluation metrics. It is also important to filter training data for harm and develop techniques to detect and flag generated harmful content. The intended use, available resources, and ethical considerations must be accounted for in the

Author
alan birtok
Language
EN