The Rise of Large Language Models
A non-technical introduction of LLMs and why they’re worth the hype
Large Language Models (LLMs) are artificial intelligence (AI) systems designed to understand and produce human language. These models are trained on massive amounts of text data, such as books, articles, and social media posts, using a technique called deep learning. LLMs use a neural network architecture that allows them to learn the patterns and relationships between words, sentences, and even whole documents, enabling them to generate coherent and contextually appropriate language.
What are neural networks?
Neural networks are a type of artificial intelligence (AI) that are inspired by the structure of the human brain. They consist of interconnected nodes, called neurons, that work together to process information. Neural networks are trained using large amounts of data, and the connections between the neurons are adjusted to optimize the network’s ability to perform a specific task. This process is called deep learning, and it allows neural networks to learn and improve over time. Neural networks are used in a wide range of applications, from image recognition and speech recognition to natural language processing and robotics.
