Summary: Practical Guides for Large Language Models: A Curated List of Resources

The Practical Guides for Large Language Models is a constantly updated list of curated resources to help practitioners navigate the vast landscape of Large Language Models (LLMs) and their applications in Natural Language Processing (NLP). The list includes practical guides for data pre-training, fine-tuning, and the selection of LLMs or fine-tuned models for specific NLP applications. The list also covers efficiency, trustworthiness, safety, and ethics issues concerning LLMs. The guide presents an evolutionary tree of modern LLMs to trace the development of language models in recent years, with highlighted examples such as BERT, RoBERTa, and GPT-3, and includes links to papers and benchmark datasets.

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