Q: Which of the following statements correctly describe large language models (LLMs)? Select three answers.
or
Q: Which of the following summaries of large language models (LLMs) is accurate? Choose three responses.
- LLMs are trained entirely on articles found on the web.
- LLMs can identify patterns that exist in human language.
- LLMs use statistics to analyze the relationships among the words in a sequence.
- LLMs are trained on large amounts of text data.
Explanation: LLMs are meant to interpret and create human language by recognizing patterns, structures, and connections within the text material that they are trained on. This is the reason why this is the case. The reason for this is that LLMs make use of statistical approaches to understand the probability distributions of word sequences. This enables them to make predictions and create meaningful text based on the connections between the strings of words.LLMs need enormous datasets, which often consist of millions or billions of words, to understand the subtleties and complexity of human language. This is the reason why this particular statement is correct.
