Chapter 4 Large Language Models

Large Language Models (LLMs) are models designed to understand and generate human-like text at a large scale. These models are typically trained on massive datasets to learn the patterns and nuances of human language. One prominent example of an LLM is OpenAI’s GPT-3 (Generative Pre-trained Transformer 3), which is part of the Transformer architecture.

LLMs like GPT-3 are pre-trained on diverse internet text data, allowing them to perform a wide range of natural language processing tasks, including text completion, translation, summarization, question-answering, and more. These models can generate coherent and contextually relevant responses based on the input they receive.

It’s important to note that while LLMs showcase impressive language capabilities, they don’t possess true understanding or consciousness. They rely on statistical patterns and associations learned during training to generate text responses. This section continues with the hotel data from 1.