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  • Large language model - Wikipedia
    A large language model (LLM) is a language model trained with self-supervised machine learning on a vast amount of text, designed for natural language processing tasks, especially language generation
  • What is a Large Language Model (LLM) - GeeksforGeeks
    What are Large Language Models (LLMs)? A large language model is a type of artificial intelligence algorithm that applies neural network techniques with lots of parameters to process and understand human languages or text using self-supervised learning techniques
  • 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
  • Introduction to large language models - Training | Microsoft Learn
    Learn about large language models, their core concepts, the models that are available to use, and when to use them
  • What are LLMs, and how are they used in generative AI?
    The chatbot’s foundation is the GPT large language model (LLM), a computer algorithm that processes natural language inputs and predicts the next word based on what it’s already seen
  • What is an LLM? A Guide on Large Language Models and How They Work
    LLMs are AI systems used to model and process human language They are called “large” because these types of models are normally made of hundreds of millions or even billions of parameters that define the model's behavior, which are pre-trained using a massive corpus of text data
  • What are large language models (LLMs)? | Microsoft Azure
    LLM meaning Large language models (LLMs) are advanced AI systems that understand and generate natural language, or human-like text, using the data they’ve been trained on through machine learning techniques
  • What is an LLM (large language model)? - Cloudflare
    In simpler terms, an LLM is a computer program that has been fed enough examples to be able to recognize and interpret human language or other types of complex data Many LLMs are trained on data that has been gathered from the Internet — thousands or millions of gigabytes' worth of text




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