Large Language Model (LLM)
AI models trained on vast text data that can generate and understand human-like text.
In-depth explanation
LLMs are transformer-based models with billions of parameters trained on internet-scale text data. They exhibit emergent capabilities like reasoning, instruction-following, and few-shot learning. Examples include GPT-4, Claude, and Llama. LLMs power chatbots, content generation, coding assistants, and are rapidly transforming many industries.
Examples
Related terms
More in Generative AI
Diffusion Model
Generative models that learn to create data by reversing a gradual noising process.
Generative Adversarial Network (GAN)
Two neural networks competing against each other to generate realistic synthetic data.
GPT
Generative Pre-trained Transformer, a family of large language models trained to generate text.
Hallucination
When AI models generate plausible-sounding but factually incorrect or fabricated information.
Prompt Engineering
The practice of crafting effective inputs to get desired outputs from AI models.
RAG (Retrieval-Augmented Generation)
Combining retrieval systems with language models to generate responses grounded in external knowledge.
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