1. What a Large Model Actually Is First, let us ask two large models this question and see what they answer. Claude says that a large model is essentially a probabilistic expression of linguistic knowledge: through statistical learning it models the regularities at every level of language and represents the prior distribution of language generation, thereby gaining the ability to predict and generate language.

1. Keywords Machine Learning (ML) The technology of automatically acquiring knowledge from data. Neural Network (NN) A model that imitates the structure and learning mechanism of biological neural networks; one of the branches of machine learning. The structure of a neural network consists of an input layer, hidden layers, and an output layer.

1. LLMs and Langchain Many people may never get the chance to train, or even fine-tune, a large model, but using large models is the wave of the future. So how should we embrace this change? The answer is Langchain. A large model provides a broad, general-purpose foundation. So far

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