This chapter explores the definitions, significance, and evolution of large language models (LLMs) and small language models (SLMs), offering an essential foundation for understanding how they function and how they can be applied to various NLP (natural language processing) tasks. This exploration will not only provide clarity on what makes each model unique but also help you grasp the considerations necessary when choosing between them for specific tasks or deployment scenarios.

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Introduction to LLMs, SLMs, and Modern NLP Challenges

  • Venkata Gunnu,
  • Shubham Shah,
  • Anvesh Minukuri,
  • Jayanth Gopu

摘要

This chapter explores the definitions, significance, and evolution of large language models (LLMs) and small language models (SLMs), offering an essential foundation for understanding how they function and how they can be applied to various NLP (natural language processing) tasks. This exploration will not only provide clarity on what makes each model unique but also help you grasp the considerations necessary when choosing between them for specific tasks or deployment scenarios.