Demystifying Large Language Models: Theory, Design, and Langchain Implementation
In this chapter, we delve deep into the intricate world of large language models (LLMs) and the underpinning mathematical concepts that fuel their performance. The advent of these models has revolutionized the field of natural language processing (NLP), offering unparalleled proficiency in understanding, generating, and interacting with human language.
LLMs are a subset of artificial intelligence (AI) models that can understand and generate human-like text. They achieve this by being trained on a diverse range of internet text, thus learning an extensive array of facts about the world. They also learn to predict what comes next in a piece of text, which enables them to generate creative, fluent, and contextually coherent sentences.
As we explore the operations of LLMs, we will introduce the key metric of perplexity, a measurement of uncertainty that is pivotal in determining the performance of these...
