Your Conversational AI Glossary
LLM - Large Language Model
What is an LLM (Large Language Model)?
An LLM, or Large Language Model, is a type of artificial intelligence trained on massive text datasets to understand and generate human-like language. These models can answer questions, summarize content, carry on conversations, and perform various language-related tasks with remarkable fluency.
How Do LLMs Work?
LLMs are built using deep learning, especially neural networks called transformers. They learn patterns, grammar, context, and meaning from billions of words during training. When you input a prompt, the model predicts the most likely next words based on what it has learned — generating coherent, context-aware responses in real time.
Why are LLMs Important?
LLMs are built using deep learning, especially neural networks called transformers. They learn patterns, grammar, context, and meaning from billions of words during training. When you input a prompt, the model predicts the most likely next words based on what it has learned — generating coherent, context-aware responses in real time.
Common Examples of LLMs
GPT-4 by OpenAI (used in ChatGPT)
Claude by Anthropic
LLaMA by Meta
Gemini by Google
Grok by xAI (Elon Musk’s AI company, integrated with X)
DeepSeek by DeepSeek AI (open-source and multilingual, popular in research and development)
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