Back to Glossary
Artificial Intelligence
Large Language Model (LLM)
An LLM is an AI model trained on massive text data to understand and generate human language.
Definition
A Large Language Model (LLM) is a type of artificial intelligence model trained on vast amounts of text data to understand, generate, and manipulate human language. Modern LLMs like GPT-4, LLaMA 3, and Claude contain billions to trillions of parameters and require massive GPU resources for training and inference. Training a 70B parameter LLM can cost $2-5M in GPU compute. Harch Corp provides GPU cloud infrastructure optimized for LLM training and serving, with pre-built environments for popular frameworks like Megatron-LM, DeepSpeed, and vLLM.
Related Keywords
llmlarge language modelgptllamaai model training
Related Terms
AI Training
AI training is the process of optimizing model parameters using labeled data and compute resources.
AI Inference
AI inference is the process of using a trained model to make predictions on new data.
Fine-Tuning
Fine-tuning adapts a pre-trained model to a specific task using domain-specific data.
LLM Serving
LLM serving is the deployment of large language models for inference via APIs or applications.