Category:
Category:
Large Language Model (LLM)
Category:
AI Foundations
Definition
A large-scale neural network trained to understand and generate human language.
Explanation
A Large Language Model (LLM) is a deep learning model trained on massive text datasets to predict the next token in a sequence. Through this training, LLMs learn grammar, semantics, reasoning patterns, and domain knowledge. In enterprise settings, LLMs act as the reasoning core for chatbots, copilots, analytics agents, and agentic AI systems.
Technical Architecture
Text Input → Tokenization → Transformer Layers → Token Probability Distribution → Generated Output
Core Component
Tokenizer, transformer blocks, attention mechanism, training corpus
Use Cases
Chatbots, copilots, document analysis, agent reasoning engines
Pitfalls
Hallucinations, bias, lack of grounding, unpredictable outputs
LLM Keywords
Large Language Model, LLM, Generative AI
Related Concepts
Related Frameworks
• Transformer
• Tokenization
• Prompt Engineering
• GPT
• Claude
• Gemini
• LLaMA