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Large language Models (LLMs)

What is a large language model LLM?
A large language model (LLM) is a type of artificial intelligence (AI) program that can recognize and generate text, among other tasks.
LLMs are trained on huge sets of data — hence the name "large." LLMs are built on machine learning: specifically, a type of neural network called a transformer model.
What are LLMs examples?
They can produce an example of text when prompted.
For example: “Write me a poem about palm trees in the style of Emily Dickinson.” Code generation: Like text generation, code generation is an application of generative AI.
LLMs understand patterns, which enables them to generate code.
What is large language models example?
One example is OpenAI Codex, a domain-specific LLM for programming based on GPT-3.
Language representation model.
One example of a language representation model is Bidirectional Encoder Representations from Transformers (BERT), which makes use of deep learning and transformers well suited for NLP.
Large language models, or LLMs, are a type of AI that can mimic human intelligence.
They use statistical models to analyze vast amounts of data, learning the patterns and connections between words and phrases.

A large language model (LLM) is a large-scale language model notable for its ability to achieve general-purpose language understanding and generation.LLaMA · Self-supervised learning · Bloom · Fine-tuning (deep learning)Autres questions

What is a large language model LLM?