Generative Large Language Models (GLLMs), often referred as simply Large Language Models, are advanced AI systems that generate human-like text, image, video, audio and more. They learn from extensive text data, grasping language patterns, grammar, and semantics. Key features include text generation, understanding language context and semantics, and versatility in applications like chatbots and content creation. These models primarily use deep learning, especially transformer architectures, for nuanced, context-aware language processing. The quality of training data significantly affects their performance, with larger and more diverse datasets leading to better models. Prominent examples include OpenAI’s GPT series and Google’s PaLM and Gemini.
They take instructions (also known as prompt) by way of text.
Depending on the model, they output one or more of the following:
- Text
- Image
- Video
- Audio (speech)
- Tasks (like make a game move or book an appointment)
See Also: Large Language Models