GPT-4: A practical guide for practitioners and end-users working with Large Language Models (LLMs) in natural language processing tasks. The paper covers LLM usages, data types, and downstream tasks, aiming to help users understand LLMs’ applications, limitations, and task suitability. It also discusses LLMs’ applicability for various tasks, including knowledge-intensive tasks, traditional natural language understanding, and generation tasks, as well as their emergent abilities and real-world deployment challenges.
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