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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
- Introduction to large language models - Training | Microsoft Learn
Explain what a large language model (LLM) is Describe what LLMs can and can't do Understand core concepts like prompts, tokens, and completions Distinguish between different models to understand which one to choose for what purpose
- 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
- What is an LLM? A Guide on Large Language Models and How . . . - DataCamp
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 LLMs, and how are they used in generative AI?
In the simplest of terms, LLMs are next-word prediction engines Along with OpenAI’s GPT-3 and 4 LLM, popular LLMs include open models such as Google’s LaMDA and PaLM LLM (the basis for Bard),
- What are large language models (LLMs)? - IBM
Large language models (LLMs) are a category of foundation 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
- Introduction to Large Language Models - Google Developers
Define language models and large language models (LLMs) Define key LLM concepts, including Transformers and self-attention Describe the costs and benefits of LLMs, along with common use cases
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