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- Large language model - Wikipedia
A large language model (LLM) is a neural network trained on a vast amount of text for natural language processing tasks, especially language generation LLMs can generate, summarize, translate and parse text in many contexts, and are a foundational technology behind modern chatbots [1]
- Large Language Model (LLM) Tutorial - GeeksforGeeks
Large Language Models (LLMs) are machine learning models trained on vast amount of textual data to generate and understand human-like language These models can perform a wide range of natural language processing tasks from text generation to sentiment analysis and summarisation
- Best Open-Source LLM Models in 2026: Coding, Local, Agentic AI . . .
A Blog post by Daya Shankar on Hugging Face
- What Is an LLM? Beginners Guide to AI in 2026
What Is an LLM in Simple Terms? An LLM — short for Large Language Model — is an AI system trained on enormous amounts of text (books, websites, code, conversations) to predict the next word in a sequence
- What are large language models (LLMs)? - IBM
Large language models (LLMs) are a category of deep learning models trained on immense amounts of data, making them capable of understanding and generating natural language and other types of content to perform a wide range of tasks
- What is a large language model (LLM)? - TechTarget
A large language model (LLM) is a type of artificial intelligence algorithm that uses deep learning techniques and massively large data sets to understand, summarize, generate and predict new content
- What is LLM? - Large Language Models Explained - AWS
Large language models, also known as LLMs, are very large deep learning models that are pre-trained on vast amounts of data The underlying transformer is a set of neural networks that consist of an encoder and a decoder with self-attention capabilities
- Google NotebookLM | AI Research Tool Thinking Partner
Meet NotebookLM, the AI research tool and thinking partner that can analyze your sources, turn complexity into clarity and transform your content
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