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Table of Contents
Abstract, Introduction, Background for LLMs, Formulation of Scaling Laws for LLMs, Emergent Abilities of LLMs, Key Techniques for LLMs
Summary
This document provides a comprehensive review of Large Language Models (LLMs), focusing on the recent advances in LLMs. It discusses the evolution of LLMs, scaling laws for LLMs, emergent abilities observed in LLMs, and key techniques used in developing LLMs. LLMs are Transformer language models with hundreds of billions of parameters, trained on massive text data. The study highlights the impact of LLMs on natural language understanding and complex task solving through text generation.