Difference between an LLM and a foundation model

In Gen AI with large language models they refer to LLM and foundation models…what is teh difference between these two things. Also does an LLM contain any data or is its just the weights from the training data

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The foundation models are more traditional models which use embeddings like word2vec or glove etc. NLP models. The LLM as similar but mostly use transformer architecture and are trained on huge amounts of text literature.

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