AI models trained on massive text datasets to understand and generate human-like text.
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. These models use deep learning architectures, typically transformers, to process and produce text that can be remarkably coherent and contextually appropriate.
LLMs power many modern AI applications including chatbots, code assistants, content generation tools, and more. Popular examples include GPT-4, Claude, Llama, and Gemini. For AI-native engineers, understanding how to effectively interact with and integrate LLMs is a core skill that enables building intelligent applications.
Key characteristics of LLMs include their ability to perform few-shot and zero-shot learning, meaning they can adapt to new tasks with minimal examples. They excel at natural language understanding, text generation, summarization, translation, and increasingly at reasoning and code generation tasks.
AI models trained on massive text datasets to understand and generate human-like text.
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