+- Anna University Plus (https://annauniversityplus.com)
+-- Forum: Technology: (https://annauniversityplus.com/Forum-technology)
+--- Forum: Artificial Intelligence and Machine Learning. (https://annauniversityplus.com/Forum-artificial-intelligence-and-machine-learning)
+--- Thread: What Are Large Language Models (LLMs) and How Do They Work? (/what-are-large-language-models-llms-and-how-do-they-work)
What Are Large Language Models (LLMs) and How Do They Work? - indian - 03-21-2026
Large Language Models (LLMs) are a type of artificial intelligence designed to understand and generate human-like text. They are built using deep learning techniques, particularly neural networks with many layers called transformers.
At their core, LLMs work by predicting the next word (or token) in a sequence. Given a prompt, the model breaks it into smaller units called tokens, processes the surrounding context, and calculates the most likely next token based on what it has learned from massive datasets.
Key characteristics:
- Scale: LLMs contain billions or even trillions of parameters
- Training Data: Trained on text from books, websites, articles, and other written material
- Transformer Architecture: Allows the model to consider all parts of a sentence simultaneously rather than one word at a time
- Transfer Learning: Once trained, they can be fine-tuned for specific tasks with smaller datasets
Popular LLMs include GPT series (OpenAI), Gemini (Google), Claude (Anthropic), and Llama (Meta). These models power tools like ChatGPT, Google Gemini, and Microsoft Copilot that millions of people use daily.
What questions do you have about how LLMs work? Share your thoughts below!