LLMs are a type of machine learning. Input is broken into tokens, which are then fed through a type of neural network called a transformer model.
The models are trained with a process known as deep learning, which involves the probabilistic analysis of unstructured data, which eventually enables the model to recognize distinctions between pieces of content.
That’s like textbook machine learning. What you said about interpreting sentiment isn’t wrong, but it does so with machine learning algorithms.
LLMs are a type of machine learning. Input is broken into tokens, which are then fed through a type of neural network called a transformer model.
The models are trained with a process known as deep learning, which involves the probabilistic analysis of unstructured data, which eventually enables the model to recognize distinctions between pieces of content.
That’s like textbook machine learning. What you said about interpreting sentiment isn’t wrong, but it does so with machine learning algorithms.