# The Practical Guides for Large Language Models

A curated, actively updated list of practical resources on using large language models, based on a survey paper, including an evolutionary tree of notable models and their usage restrictions.

This is a curated list of practical guide resources for large language models, based on the authors' survey paper on harnessing LLMs in practice. It builds an evolutionary tree tracing the development of major LLMs, to help practitioners navigate the field and its applications in natural language processing.

The catalog covers practical guidance for choosing models, split between BERT-style encoder or encoder-decoder models and GPT-style decoder-only models, for working with pretraining, fine-tuning and test data, and for matching model types to natural language processing tasks such as traditional understanding tasks, generation tasks and knowledge-intensive tasks, plus notes on each model's usage and licensing restrictions.

Website: https://arxiv.org/abs/2304.13712v2