I'm using the new generation of small models to do semantic search for music lyrics. The first step is giving the model the text and asking, "What is this text about?" Without fine-tuning and only minimal prompt engineering these models can understand most languages, pull out the most relevant phrases, and list major themes and speculative ideas of what the lyrics mean. I'm super impressed with the results. Reading the answers feels like grading ambitious undergraduate student essays (both the good and the bad).
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