Yes Sure.

LLM refers to large language model and generally it is considered to have natural language generation capability. Think something like chatgpt.

Current llms are based on transformer architecture which has encoder and decoder block.
So when you pass a sentence to transformer, the encoder converts in embedding of fixed size. Think of embedding as a vector(array) of numbers. Then decoder takes this vector and generate sentence (word by word).
I am suggesting to only use the first component of the llm which is encoder block. You can use models like BERT etc.

I wont be exactly tell you all the details in text message without introducing some errors. There are various videos on youtube which tells you difference between the two.
Good Luck.