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With the advent of Large Language Models (LLMs)Large Language Model (LLM), it will take a few years for users to understand their limitations. These are tools with immediate implications for routine writing tasks, information aggregation, summarization, preparing reports, image creating and logo design etc. This chapter examines the evolution of LLMsLarge Language Model (LLM) and Generative AIArtificial Intelligence (AI) with some basic examples. However, the risks in terms of LLM output manipulation should be well understood and safeguarded in advance before their deployment. This chapter concludes with jailbreaking LLMs and how to safeguard them.

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Evolution and Risks of LLMs

  • 章节

  • 发表日期：

    2025年

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  • Pramod Gupta,
  • Naresh Kumar Sehgal,
  • John M. Acken

摘要

With the advent of Large Language Models (LLMs)Large Language Model (LLM), it will take a few years for users to understand their limitations. These are tools with immediate implications for routine writing tasks, information aggregation, summarization, preparing reports, image creating and logo design etc. This chapter examines the evolution of LLMsLarge Language Model (LLM) and Generative AIArtificial Intelligence (AI) with some basic examples. However, the risks in terms of LLM output manipulation should be well understood and safeguarded in advance before their deployment. This chapter concludes with jailbreaking LLMs and how to safeguard them.