What is LLM (Large Language Model)?
Turkish: LLM
An LLM is a model trained on large text datasets that can understand and generate natural language, forming the basis of tools like ChatGPT.
What is an LLM?
An LLM (Large Language Model) is a model that breaks text into pieces called tokens and learns patterns between those tokens. Given a prompt, it predicts likely next tokens, which makes it useful for question answering, summarization, classification, and text generation.
Most modern LLMs are based on the transformer architecture. Their behavior is shaped by training data, context window size, system instructions, generation settings such as temperature, and any additional information supplied to the model. Because output is probabilistic, the same question may not always produce the same answer, and confident-sounding responses can still be wrong.
Business Use and Limits
- Customer support drafts, knowledge-base search, and email summaries
- Document classification, meeting-note extraction, and content drafts
- Code assistance, test-case suggestions, and technical documentation explanation
- RAG workflows that answer from internal company documents
Successful LLM projects are not only about writing good prompts. Privacy, evaluation sets, hallucination control, authorization, cost, and human review need explicit design. The topic connects to AI, NLP, RAG, and prompt engineering.
Related Terms
Agentic AI is an AI approach where systems plan tasks, use tools, and adjust their next steps instead of producing a single reply.
AI AgentAn AI agent is a software component that uses an LLM, tools, and data sources to plan steps and complete a defined goal.
ChatbotA chatbot is a conversational interface that answers user requests through scripted flows, retrieval, or AI-generated responses.
Context WindowA context window is the total token capacity a language model can read and consider while generating one response in a single request.
Conversational AIConversational AI lets software understand language, keep context, and complete multi-turn conversations over text or voice.
Fine-tuningFine-tuning retrains a pre-trained model on selected examples so it behaves more consistently for a task, tone, or domain.
Generative Engine Optimization (GEO)Generative engine optimization makes content discoverable, understandable, and trustworthy for AI-powered search and answer experiences.
GitHub CopilotGitHub Copilot is an AI developer assistant that suggests code, tests, and explanations directly inside supported editors.
NLP (Natural Language Processing)NLP is the AI field that processes human language as text or speech for tasks such as classification, search, summarization, and generation.
Artificial Intelligence (AI)Artificial intelligence uses data-driven models to classify, predict, generate content, or support decisions in software systems.