英伟达(NVIDIA):2024大语言模型(LMM)新手入门指南(英文版)(25页).pdf

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英伟达(NVIDIA):2024大语言模型(LMM)新手入门指南(英文版)(25页).pdf

1、A Beginners Guide to Large Language ModelsPart 1Contributors:Annamalai ChockalingamAnkur PatelShashank VermaTiffany YeungA Beginners Guide to Large Language Models 2 Table of Contents Preface.3 Glossary.5 Introduction to LLMs.8 What Are Large Language Models(LLMs)?.8 Foundation Language Models vs.Fi

2、ne-Tuned Language Models.11 Evolution of Large Language Models.11 Neural Networks.12 Transformers.14 How Enterprises Can Benefit From Using Large Language Models.20 Challenges of Large Language Models.21 Ways to Build LLMs.21 How to Evaluate LLMs.22 Notable Companies in the LLM Field.23 Popular Star

3、tup-developed LLM Apps.23 A Beginners Guide to Large Language Models 3 Preface Language has been integral to human society for thousands of years.A long-prevailing theory,laryngeal descent theory or LDT,suggests that speech and,thus,language,may have evolved about 200,000 or 300,000 years ago,while

4、newer research shows it couldve happened even sooner.Regardless of when it first appeared,language remains the cornerstone of human communication.It has taken on an even greater role in todays digital age,where an unprecedented portion of the population can communicate via both text and speech acros

5、s the globe.This is underscored by the fact that 347.3 billion email messages are sent and received worldwide every day,and that five billion people or over 63%of the entire world population send and receive text messages.Language has therefore become a vast trove of information that can help enterp

6、rises extract valuable insights,identify trends,and make informed decisions.As an example,enterprises can analyze texts like customer reviews to identify their products best-selling features and fine-tune their future product development.Similarly,language production as opposed to language analysis

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