In the world of language models, Large Language Models (LLMs) play a significant role in predicting the next set of words in a sentence. Imagine a scenario with a curious parrot named Buddy, who mimics conversations with statistical probability. LLMs function similarly to Buddy but on a much larger scale, trained on vast datasets to predict text sequences accurately. This article delves into the concept of LLMs, their neural network technology, and the application of reinforcement learning with human feedback in refining language predictions.
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