Introduction to LLMs and LLMOps

In this chapter, we’ll examine the historical evolution of natural language processing (NLP) and the milestones leading to large language models (LLMs), gaining both a historical and future-oriented perspective on large language model operations (LLMOps). LLMOps refers to the processes, tools, and best practices that are adapted for the operational management of LLMs in a production environment. Our journey will explore how LLMs, through LLMOps, are revolutionizing various sectors by enabling complex tasks that once required human intelligence. We’ll see how these models are embedded in digital applications, from virtual assistants to advanced media tools, becoming essential in our digital interactions.

In this chapter, we’re going to cover the following topics:

• The evolution of NLP and LLMs
• Traditional MLOps versus LLMOps
• Trends in LLM integration
• The core concepts of LLMOps