LLM (Large Language Model)

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Definition

A Large Language Model is a deep learning model trained on massive amounts of text data to perform natural language tasks such as answering questions, generating content, summarizing information, and translating languages. These models use billions of parameters to identify patterns in human communication.

Example

ChatGPT is an LLM that can generate essays, write code, and hold conversations by predicting the next word in a sequence.

How It’s Used in AI

LLMs are used in applications like AI chatbots, virtual assistants, automated content creation, search engines, and code generation tools. Their ability to process context and generate coherent responses makes them foundational to modern NLP systems.

Pro Tip

LLMs don’t truly “understand” — they predict based on probability. Fine-tuning or using prompt engineering can make them more accurate for specific use cases.

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