Large Language Models (LLMs) are advanced AI models designed to comprehend and generate human-like text at scale. These models, such as GPT-3 and BERT, consist of billions of parameters, enabling them to understand context, grammar, and meaning from vast amounts of text data.
LLMs utilize deep learning techniques, leveraging neural networks to process and generate text, facilitating tasks like language translation, summarization, and content generation.
They’re trained on extensive datasets, learning patterns and structures in language, enabling them to generate coherent and contextually relevant responses across various applications, from chatbots and content creation to aiding in complex natural language understanding tasks.
Natural Language Processing (NLP) refers to AI's ability to comprehend, interpret, and generate human language. It encompasses a range of techniques allowing machines to understand text and speech, enabling tasks like sentiment analysis, language translation, and chatbots.